Institution
Earlham Institute
Location
Norwich, UK
Salary
£33,050 - £40,750
Open Date
November 21, 2022
Close Date
January 12, 2023

Description
Dr Patron’s lab works on plant gene regulatory networks and metabolism, applying engineering approaches to understand biological complexity and advance plant biotechnology. In recent work, we have characterised a transcriptional regulatory network involved in modulating the architecture of root systems in response to changes in nutrient availability.

This project will investigate how this network functions across cell types and examine how cell-type-specific responses to changes in the environment mediate developmental plasticity. This knowledge will be used to inform and enable cell-type specific engineering with the aim of predictably modulating plant responses to nutrients. The post holder will be responsible for the production and analysis of single-cell sequencing datasets and the construction and characterisation of engineered plants. They will also contribute to the development of single-cell sequencing methods and assist in the training and development of PhD students.

Qualifications

• The successful candidate will have a PhD in molecular biology, systems biology, plant biology, or a related subject.
  
• They will have an interest in gene regulation and plant biotechnology, with previous experience in plant molecular biology.
  
• It will be advantageous if the post holder has experience or a demonstrated interested in transcriptomics.
  

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.

Open Date
September 8, 2021
Deadline
September 30, 2021
Institution
Institute of Biology Leiden, Leiden University
Location
Leiden, Netherlands

Description
Plant diseases occur everywhere and are one of the major threats to our agriculture. Understanding how disease resistance works is one of the long-term missions in the newly established group led by Dr. Ding, and also the key to protecting plant health.

The PhD project will focus on investigating gene regulatory mechanisms involved in immunity activated by intracellular nucleotide-binding leucine-rich-repeat (NB-LRR) receptors (NLRs). This research will continue on the recent discovery that NLR-activated transcription in-part potentiated the cell-surface receptor-mediated immunity (Ngou et al. Nature 2021; Ding et al. JXB 2021).

Qualifications

• A master's degree in biology or related area
• A strong curiosity in biology with an interes in plant sciences
• A clear motivation in taking a PhD career and understanding of the commitment
• Profound theoretical knowledge on and experience with molecular biology
• Basic knowledge of chemistry, physics, mathematics and stasistics
• Affinity with using computers and porficient skills with commonly used software
• Good orginization habits and time management skills
• Good communication and proficient English skills (both written and spoken)