692 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Harvard University
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opportunity to shape the future of medicine. About the Department of Genetics: The McCarroll Lab (http://mccarrolllab.org ) analyzes the human brain at molecular and cellular levels, using a variety of
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methodologies or models from an engineering perspective, as well as scientific studies focused on understanding deep learning. This includes the development of novel applications of artificial intelligence
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard John A. Paulson School of Engineering and Applied Sciences
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architecture, urban planning, urban design, design engineering, and real estate—as well as advanced research programs that cut across these disciplines and a robust public program of lectures, exhibitions, and
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Description The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) Bionics Lab (https://bioniclab.seas.harvard.edu/) is seeking a highly motivated Fellow with a background in Biomedical
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such datasets. In addition, this position involves working with DRSC/TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage
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experience in drug discovery using patch clamp electrophysiology or who can bring a new technology or perspective to bear on the work in the lab. The work is based on electrophysiological recordings using
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of expertise. HUIT offers opportunities for IT professionals to learn and work in a unique technology landscape and service-focused environment. If you are a technically proficient, nimble, user-focused and
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, software engineers and bioinformaticians as we develop and leverage technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable
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findings in internal meetings and scientific publications Basic Qualifications PhD degree in neurobiology or a related field Prior experience with bioinformatic analyses, viral engineering, neuroanatomy