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. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex problems, prioritize workload, and work independently with general
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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molecular biology, protein expression and protein purification, characterization of protein and protein-nucleic acids complexes using various biophysical methods (for example: EMSA, ITC, AUC, FLUORESCENCE
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; o Proficiency in human biological lab-based methodologies, including human energetics, anthropometry, and biological markers o Quantitative analysis of complex data Evidence of collaborative
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computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and writing of scientific manuscripts and grant applications
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prolonged standing, walking and sitting, as well as use of laboratory equipment. Must perform complex procedures and demonstrate manual dexterity. Some stooping, reaching, climbing and bending. Occasional