Institution
University of Alberta
Open Date
April 18, 2022
Close Date
June 15, 2022
Start Date
August 2022
Location
Edmonton, Alberta, Canada

Description
The candidate post-doctoral fellow will join the multi-year; multi-institutional Genome Canada
funded project TRIA-FoR, which is based in the Department of Biological Sciences at the
University of Alberta, Edmonton, Alberta, Canada in the laboratory of Dr. R. Glen Uhrig.

The current TRIA-FoR project will employ quantitative proteomics in conjunction with
advanced plant molecular biology, biochemistry, and genetics to characterize and validate host
disease resistance targets related to mountain pine beetle. To do this, the candidate post-doctoral fellow will be expected to deploy a variety of cutting-edge techniques to accomplish this task.

It is expected that the outcomes of this project will feed into the larger collaborative and applied research efforts of TRIA-FoR, aimed at enhancing pine resiliency to mountain pine beetle. Within the general scope of the project, the candidate post-doctoral fellow will be encouraged to develop independent and creative lines of inquiry, with support from Dr. R. Glen Uhrig, while being provided training and professional development support to prepare them for careers in either academia or industry.

Qualifications

• A demonstrated ability to work both independently as well as part of a team.
• Good communication skills and team work attitude, with a desire to mentor.
• Demonstrated leadership abilities.
• Broad ranging interest in plant science.
• Experience with advanced molecular / biochemical techniques.

To Apply
Interested applicants should send a 2-page CV to ruhrig[at]ualberta.ca that includes references.

Institution
North Carolina State University
Open Date
February 24, 2022
Location
Raleigh, NC, USA

Description
The Department of Plant and Microbial Biology at North Carolina State University invites applications for a Postdoctoral Research Scholar position in the lab of Dr. Terri Long. The Postdoctoral Research Scholar will collaborate with mathematical modelers to conduct hypothesis-driven molecular, genetic, and biochemical experimentation that will delineate the molecular rules underlying systemic Fe homeostasis in Arabidopsis. The candidate will be expected to contribute to a variety of studies to characterize protein function and dynamics in Arabidopsis that will require the use of in vitro protein analysis (ie. Immunoprecipitation, immunoblotting), as well as confocal, enzymatic, and physiological analysis. The candidate will be expected to design and conduct quality, substantive, and methodological research, and share and report research findings by publishing papers in peer-reviewed scientific journals and participating in research conferences, seminar series, and other appropriate professional activities. The postdoc will meet frequently with Dr. Long to discuss best practices in grant writing, manuscript preparation, and mentoring. The postdoc will also be expected to assist with training undergraduates and graduate students that will join the lab.

Qualifications

• Ph.D. in molecular biology, genetics, plant biology, or a related discipline.
  
• Experience in plant transformation, analysis of transgenic plants, biochemistry, and confocal microscopy is required.
  
• The successful candidate should be a highly self-motivated and dedicated individual with experience in sequencing analysis.
  

Institution
University of Münster
Application Review Date
December 31, 2021
Close Date
Open until filled
Location
Münster, Germany

Description
The Institute of Organismic and Molecular Evolution at the University of Mainz, Germany, invites applications for a Postdoc position in evolutionary single-cell genomics in the group of Evolutionary Plant Science and Biotic Interactions, headed by Prof. Shuqing Xu. Supported by other group members, the candidate will work on the evolution of gene functions and regulations at cellular level using use the state-of-the-art single-cell genomic tools. During the project, the candidate will mature his/her scientific skills and develop independence in project planning and management skills. The candidate is encouraged to apply for additional third-party funding to establish his/her own subgroup.

Qualifications
We are looking for a highly motivated researcher with a doctoral degree, or an equivalent thereof, in biology, evolutionary genetics, bioinformatics or computer science. The candidate is expected to design, conduct and organize the projects independently. Experience in analysing a large amount of next-generation sequencing data, in particular, single-cell sequencing and/or comparative genomics data, with a high degree of independence. A training background in bioinformatics, evolutionary genetics and single-cell sequencing is preferred. Applicants must demonstrate experience in statistics and genomics. Experience with molecular biology, epigenetics and computational modelling are a plus. Our group consists of people of various nationalities and teamwork is essential for all projects in the group. Therefore, excellent communication skills, as well as proficiency in spoken and written English, are expected. Good knowledge of German is a plus.​

Institution
VIB-UGent Center for Inflammation Research
Open Date
October 15, 2021
Location
Ghent, Belgium

Description
The Data Mining and Modeling for Biomedicine group (headed by Yvan Saeys) at the VIB Center for Inflammation Research and Ghent University is located in the historical city of Ghent, Belgium. The Saeys lab is at the forefront of computational method development in single-cell omics and has a longstanding collaboration with many wet labs in immunology, oncology, and plant biology.  Recently, the lab has started a single-cell facility with advanced access to the newest single-cell multi-omics technologies (scRNA-seq, scATAC-seq, CITE-seq, and spatial proteomics and transcriptomics). A major focus of the lab is to model the dynamics of biological systems and characterize their underlying gene regulatory networks.  To this end, the lab develops new computational machine learning methods to improve the current state-of-the-art.

The successful candidate will be responsible for developing novel methods (including trajectory inference and gene regulatory network inference) on single-cell omics data. The current position is part of a collaboration with BASF, a leading company in the plant biotechnology field, and the lab of Bert De Rybel at the VIB Center of Plant Systems Biology.

Qualifications

• You obtained a Ph.D. in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent.
• Excellent track record in machine learning applied to the field of Bioinformatics
• Solid programming experience is required (Python, R).
• Experience with machine-learning/statistical analysis is required
• Experience with plant research and/or population genetics is a plus.
• Ability to work independently and in a team.

Institution
Carnegie Institution for Science
Location
Stanford, CA, USA
Earliest starting date
November 1, 2021
Closing date
Flexible, accepting applications until filled.

Description
The Burlacot lab is opening on October 1, 2021 at the Department of Plant Biology of the Carnegie Institution for Science. We will start a scientific journey in the study of the molecular mechanisms that allow photosynthesis to be the major CO2 cycling mechanism in the atmosphere. We are seeking for a highly motivated and creative person to start developing new methods for understanding the response of algal photosynthesis to fluctuating environments. We aim to recruit highly motivated and creative people with strong training in quantitative biophysics/ photosynthesis/ algal biology.

Our lab aims to understand the acclimation of photosynthesis to environmental fluctuations and the dynamics of the molecular mechanisms involved. The questions that our lab aims to address are: How are microalgae dynamically reacting to environmental fluctuations? How do molecular mechanisms of photosynthesis dynamically interact to optimise cell survival and growth under fluctuating conditions? How do the different time scales of photosynthetic energy transfers combine at various time scales of light fluctuations? What genes are important for acclimation to such fluctuations? Can we modify key enzymes to make photosynthesis more robust to some environments?

Qualifications

• PhD in Plant science, Microbiology, Biophysics or a related field.
• Track record of research productivity and creativity.
• Willingness to take responsibilities in a small team and to interact closely with colleagues.
• Willingness to take part in building a dynamic, inclusive and interactive lab atmosphere.
• Willingness to develop synergistic interactions with other labs from the Carnegie Institution for Science and from Stanford University.
• Programming skills: ability to develop and implement simple codes in Python and/or Mathlab to treat and analyse large data set automatically.
• A willingness to promote science through popularization and track record of previously taken actions are a plus.

Institution
University of California, Los Angeles
Location
Los Angeles, CA, USA

The Nikolov lab studies Plant Structure, Plant Development, and Plant Evolution. If you are interested in plant genetics and development, evolution, flowers, nectar, or Brassicaceae contact Dr. Nikolov (nikolov@ucla.edu) directly with inquiries and/or questions.

Institution
Stanford University
Location
Stanford, CA, USA

Description
The  Brophy Lab  is looking for creative people to help us grow the lab! Our primary expertise is in synthetic biology, plant biology, microbiology and genetics, though we are eager to grow our team in any area. To apply email Dr. Jenn Brophy (jennbrophy at gmail dot com) with a cover letter and CV.

Institution
Scienion/Pacific Northwest National Lab
Location
Richland, WA, USA

Description
Joint appointment - Scienion/PNNL

SCIENION US, INC is looking for an outstanding candidate for a postdoctoral position working on projects associated with technology advancements and biological applications of high-throughput single-cell multi-omics in collaboration with the Environmental Molecular Sciences Laboratory (EMSL), a national scientific user facility at Pacific Northwest National Laboratory (PNNL) in Richland, WA.

Qualifications

•  Advanced degree in molecular biology, biochemistry, or related field
  
• PhD in molecular biology, genetics, or biotechnology is preferred
  
• Experience with next-generation sequencing techniques, with experience in plate based single-cell RNA-seq methods (e.g., Smartseq2)
  
• Expertise with a wide range of molecular biology skills, including DNA and RNA extraction, reverse transcription, in vitro transcription, PCR, QRT-PCR
  
• Familiarity with computational biology tools, and experience working with computational biologists to solve problems. Experience with single-cell computational biology methods  
  
• Demonstrated scientific productivity and drive as evidenced by a strong publication record
  
• Ability to work collaboratively in a fast-paced, interdisciplinary research team.
  
• Excellent prioritization and organization skills
  
• US Citizenship required
  

Open Date
August 30, 2021
Institution
North Carolina State University
Location
Raleigh, NC, USA

Description
The Sozzani Lab research focuses on understanding how stem cells are organized and maintained in the root of the model plant Arabidopsis thaliana. Our goal is to gain a coherent qualitative and quantitative understanding of stem cell maintenance at the systems-level. Our research leverages techniques derived from molecular, developmental and cell biology, mathematics, physics, chemistry, computer science and engineering. In plant systems, stem cell regulation has clear implications for increasing the production of crops used for food, fiber and fuel. Our research will reveal a specific molecular pathway of plant stem cells, and provide broader insights into the fundamental properties of stem cells across the plant and animal kingdoms.

We are looking to hire a postdoc! Join us exploring the transcriptional activation, data analytics, and deep learning. Direct message Lisa Van den Broeck with inquires and/or questions.

Open Date
August 5, 2021
Deadline
September 30, 2021 at 11:59 PM Eastern Time
Institution
New York University
Location
New York, NY, USA

Description
The Huang lab at NYU Biology (huanglab.rbind.io) is looking for a highly motivated and independent individual to work as a Postdoctoral Associate in regulatory genomics. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through the development of professional skills; supervision by senior scientist incorporating individual development plan in support of training goals and those of faculty mentor; and publication of research findings/scholarship during postdoc appointment period.

Qualifications
The ideal candidate will hold a PhD in genetics/genomics, molecular biology, plant biology, ecology/evolution or computational biology, a track record or first- or co-first-author peer- reviewed publications, and prior research experience in any of these areas: molecular cloning, protein expression and purification, comparative genomics, analysis of high-throughput sequencing data, basic statistics, computer programming and/or machine learning. Experience with analyzing genome variation of Arabidopsis or other organisms is a strong plus. The position is expected to continue for multiple years contingent on satisfactory performance.