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these challenges by advancing machine learning (ML)-based and data-intensive methods for the scalable design, processing, and deployment of DPPs. The advertised PhD position focuses on developing ML-based and
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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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advantage. Experience in structural biology is an advantage. Experience in immune receptor immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with
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immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with machine learning and or other mathematical approaches used in (bulk and single-cell) immune
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project which focuses on the understanding of the biophysical processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed
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at the University of Oslo (UiO). The position is part of large interdisciplinary project which focuses on the understanding of the biophysical processes as droplets/condensates wet membrane compartments in cells
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cells. While follicular helper T (Tfh) cells are critical to this process, recent discoveries by our lab and others have revealed a more complex regulatory landscape. Other T cell subsets, including
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre
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, B lymphocytes undergo intense selection to produce high-affinity antibodies and long-lived memory B cells. While follicular helper T (Tfh) cells are critical to this process, recent discoveries by our