Post Doctoral Fellow - Libault Lab

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Institution
University of Missouri - The Libault's Lab
Location
Columbia, Missouri, USA
Close Date
Applicants will be accepted until the positions are filled

Position Summary
The Libault’s lab has two openings for Postdoctoral Researcher looking to harness their expertise in bioinformatics, computational biology, machine learning, and plant genomics. Our lab seeks to explore and understand the network of plant genes, their regulation in response to environmental stress at the single-cell level, and the conservation and divergence of these responses between plant species. These discoveries will support the development of new strategies to improve crop traits and performance.

Responsibilities:
The selected postdoctoral researcher will have opportunities to use existing and develop new computational resources to:

• Analyze, integrate, and interpret single-cell resolution multi-omics datasets, notably by developing innovative analytic approaches such as establishing transcriptomic trajectories and predicting gene networks.
• Conduct comparative -omics analyses between crop species.
  
• Develop innovative approaches to integrate multi-omic datasets, transcriptomic trajectories, and prediction of gene networks.

The selected postdoctoral researcher will also work in close collaboration with other lab members and with external collaborators
In addition to the above-described duties, the individual will be expected to accept committee assignments, reporting responsibilities, and other special ad hoc assignments as requested at the administrative unit, college, and/or university level.


Minimum Qualifications:
Candidates are expected to have a Ph.D. in plant computational biology/genomics, bioinformatics, or a related field is required at the time of hiring.
Candidates will be evaluated on:

• Prior knowledge and demonstrated expertise in next-generation sequencing data analysis, computational systems biology, and/or data integration;
• The ability to work in a team environment.
• A solid knowledge of plant genomics, evolution, gene expression/regulation, and biological networks
•  Excellent oral and written communication skills with exceptional organizational and time management skills
• Durable skills such as leadership, character, collaboration, communication, creativity, critical thinking, metacognition, mindfulness, growth mindset, and fortitude, as well as customer service, confidentiality, integrity, and a commitment to the University values