66 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at Harvard University in United States
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evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials
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Qualifications Experience with teaching, pedagogy, and/or educational technology. Basic coding experience (Python or JavaScript) is advantageous but not required; candidates must demonstrate interest in developing
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machines. We seek outstanding postdoctoral applicants with expertise in immunology and/or biomolecular engineering to work with Institute faculty, postdoctoral fellows, and research staff to develop
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innovation and entrepreneurship to include more people in developing economies, women, people of color, and those in economically disadvantaged circumstances or regions. The lab’s team of collaborators
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the Fellow’s area of academic expertise to develop pedagogical tools that can be tested in those instructors’ courses. Partnering with staff at the Edmond & Lily Safra Center for Ethics on designing new
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and to develop approaches to predict and monitor effects of interventions. The position will be in-person and utilize the local scanning facilities adjacent to the Buckner Laboratory within the Center
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Musculoskeletal and Skin Diseases (NIAMS ) National Institute of Biomedical Imaging and Bioengineering (NIBIB ) Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD ) National
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Postdoctoral Fellow in developmental cell biology. Candidates interested in embryonic development, genetics, cell polarity, tissue mechanics and multidimensional image analysis are encourage to apply. Our group
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of disseminating research through impactful publications and presentations (at least 3 first author publications) Desire to work in a multidisciplinary and diverse team environment Desire to train and collaborate
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of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. Research may focus on the development of new