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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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control systems (e.g., Git), and reproducible research practices • Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python
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the mechanism of membrane protein biogenesis and quality control at the human endoplasmic reticulum using a combination of cutting-edge functional genomics, cell biology, structural biochemistry and
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functional genomics, protein biochemistry and single particle cryo-EM to understand how UFMylation controls ribosome dynamics and ER homeostasis. We are specifically seeking highly creative, passionate
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health promotion (behavioral approaches to obesity prevention and treatment, tobacco use control and prevention) Health inequalities and promoting health equity Obesity prevention and control Global health
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vaccine-preventable infections. Our NIH-funded research on schistosomiasis leverages diverse epidemiologic modeling approaches to evaluate precision surveillance and control strategies, with an emphasis
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, or similar libraries. Familiarity with version control and collaborative development tools, including GitHub. Proficiency in Unix/Linux environments, including scripting with bash. Exceptional written and
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is not limited to, work on pathogens on fomites, in water and wastewater, and in air. Research on control measures to reduce concentrations of pathogens in the environment is also within scope
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Experience in R, python or another scientific programming language Experience collaborating on and documenting, sharing, and managing code with version control Leadership experience Required Qualifications