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. Certifications: No specific certification is required for this position. Work Experience: No specific work experience is required for this position. Skills: Biomedical Research, Functional Genomics, Python
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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or machine learning. Strong programming skills in Python/R. Solid foundational knowledge in human genetics and genomics. Experience working with next-generation sequencing data. Baylor College of Medicine is
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++/Python/CUDA programming for real-time image processing. Experience in MRI pulse sequence programming, ideally on Siemens MRI platforms. Experience in MRI image reconstruction; motion and distortion
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or electrophysiology, and proficiency in MATLAB/Python/R are desirable but not required. The position is part of a well-funded research program and will provide the opportunity to produce high-impact publications and
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. Experience conducting eye-tracking studies preferred but not required. Proficiency in analytical coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds
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or disease modeling in R and/or Python statistics data analysis communication (written and verbal) This does not mean you need expertise in these areas but rather that you have some base knowledge upon which
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, or Python. Prior publication of peer-reviewed manuscripts in reputable journals. Strong written and interpersonal communication skills. Ability to work independently, manage time effectively, and meet project
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different numerical tools via Python scripting Experience conducting machine learning and inverse design models HPC experience Experience training and supervising students High proficiency in writing skills
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Mathematica and Python with an interest in GPU programming. These required and desired skills should be demonstrated by presenting an existing body of code and/or peer-reviewed publications. Additional