The larger mission of the Vermaas laboratory is to study plant processes such as photosynthesis, cell wall biosynthesis, and specialized metabolite transport. These questions are key to solving sustainability challenges. With the ultimate goal of facilitating a robust bioeconomy, the Vermaas lab leverages computational methods such as atomistic or coarse-grained molecular dynamics simulations with both classical and machine-learned force fields to study key questions around these topics. By using and developing these molecular simulation tools, the Vermaas lab seeks to create a molecular-level picture of these biological phenomena.
These specific positions are funded by DOE, studying plant natural product transport across lipid bilayers and structural questions in photosynthetic proteins. We anticipate determining the permeability for plant natural products across microbial membranes. We also have specific molecular simulations in mind that require driving a protein involved in photosynthesis along
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Doctorate -Biophysics, Plant Biology, Biochemistry, Physics, Computer Science, or a related field
Day to day, the expectation is that the researcher will be expected to learn or have prior experience with a programming language such as python, Unix-based operating systems such as MacOS or Linux. These tools are essential to set up, carry out, and analyze molecular simulation trajectories, and to interact with high performance computing environments. Thus, previous experience with these tools is beneficial but not essential:
CV required.
To best evaluate candidates, please provide a list of three recommenders so that Dr. Vermaas can reach out when you advance to that stage.
10/15/2024
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
https://prl.natsci.msu.edu/
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