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Engineering, Biomedical Engineering, Medical Physics, Mathematics, or a related field. Strong publication record and programming skills. Required Application Materials: CV One representative publication A
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Experience with transcriptomics and programming language suitable for computational analysis (e.g. R or Python) is desired Doctoral degree (PhD, MD, or equivalent) conferred by start date Required
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, ASE) Python programming skills Preferably, experience with machine-learning interatomic potentials (e.g. MACE, NequIP, or similar) Preferably, knowledge of solid oxide cells, oxide materials
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computing Strong programming and data-analysis capability, preferably including Python and C/C++ A record of high-quality research outputs commensurate with opportunity and demonstrated ability to
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, Molecular Biology, or closely related field Experience programming and utilizing automated liquid handlers Experience working with metalloproteins Experience programming in R or Python Experience working
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, outreach programming, and multidisciplinary consultation within an integrated athletics health model. This position emphasizes the development of advanced competencies in assessment, crisis intervention
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systems. Background in polymer science, soft materials, complex fluids, or related areas. Proficiency in scientific programming with Python and/or C++. Strong written and verbal communication skills
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: • Completed Ph.D. / Doctoral degree in the atmospheric sciences (e.g., meteorology, climatology), or a related field; • Strong programming skills; • Data analysis and interpretation experience that
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data from the National Health and Nutrition Examination Survey, or other relevant survey data; and Experience working with one or more programming/statistical languages, such as Stata, R, SAS, or
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in biology or related fields. Preferred Qualifications: A strong background in programming (e.g., Python or R or C++) is essential. Research experience utilizing skills of programming, statistics, and