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Proficiency in scientific computing using R, Python, or a comparable language, including experience developing reproducible analytical workflows, as demonstrated by presentations, publications, and/or
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programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated experience in molecular modelling, particularly in the areas of biophysics or material design (all atom
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct
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learning methods for research applications. • Proficiency in programming languages commonly used for robotics and AI development (e.g., Python, C/C++, MATLAB). • Strong command of statistical methods and
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language such as R and/or Python Strong written and verbal communication skills, including the ability to lead scientific manuscripts and contribute to collaborative research products Ability to work
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be completed. Preferred Qualifications Expertise in Bash, Python, and R Experience with bacterial genomics, particularly with SPAdes, Prokka, Roary, RaxML, Kraken, breseq, and iTOL. Ability to work
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collaboratively within a team Excellent written and verbal communication skills Proficiency in molecular bench skills and/or data analysis. Preferred to have familiarity with R, Python, or related scientific