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Hunt, the successful candidate will contribute to the delivery of high-quality, impactful research and consultancy work. This role offers an opportunity to work in a collaborative, interdisciplinary
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, epigenomics, CRISPR-CAS9-genome editing, multiplex immunofluorescence and spatial transcriptomics, with the ultimate goal to harness the immune responses for cancer therapies. To learn more about Avram Lab
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”. This is what you'll be doing Are you a motivated and collaborative postdoc ready to make a significant impact on marine biodiversity conservation? Join the exciting NWO (Dutch research council) funded TIDE
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Successful candidates will have publications in information theory and machine learning venues, such as IEEE Transactions on Information Theory, ISIT, NeurIPS, ICML, ICLR, and ACM FAccT. Experience in machine
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self-motivated person, able to organise their own research activities effectively, and collaborate successfully across disciplines. The successful candidate will be a good communicator and will be
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report progress regularly Participate in project planning, reporting and collaborative research activities Contribute to publications, IP-related activities and translational outputs where appropriate
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 2 days ago
proteins are recognized by antibodies at an atomic level, and how that recognition can be exploited to design effective vaccines. You will learn to design and execute experiments to determine the structures
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metabolism in ageing models. The use of AI and Deep Learning for data analysis and the establishment of in vitro ageing experimental systems and factor isolation using CRISPR Screening are also planned
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in applying? Want to learn more? Join us in our virtual Ask-A-Fellow event to learn about the ins and outs of the application process. Bring your questions and speak with the current fellows in
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Fracture Network (DFN) and Embedded Discrete Fracture Modeling (EDFM) Tracer design and interpretation Machine learning or optimization for reservoir management Experience working with field-scale geothermal