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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, KEATING LAB, Biology, to join a small, collaborative peptide design team working at the interface of computation and experiment. Working closely with
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computational innovations to enhance model efficiency, architecture, and performance. ● Collaborate on additional projects using text and vision models building on their own research interests. ● Co
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Research Infrastructure? No Offer Description Description of the workplace You will be part of the dairy group at the Division of Food and Pharma, in close collaboration with the membrane group
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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physics, applied mathematics, computational science, machine learning, and control engineering. Current collaborations involve major fusion facilities and research programs, including DIII-D (San Diego, CA
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metagenomics and microbiome analyses to uncover the mechanisms underlying beneficial plant–microbe interactions. The ideal candidate will be excited to work in a collaborative research environment and contribute
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and International collaborators such as UKAEA. The research group offers a dynamic and growing research environment with opportunities to grow. The successful candidate will make a full contribution to
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, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents
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learning – and we are growing and seeking: Postdoc / PhD Student / Entrepreneurial Postdocs to join the Institute and its wider research community. We welcome applications across all areas of machine
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled