388 algorithm-"Multiple"-"Prof"-"U"-"Simons-Foundation"-"University-of-Wisconsin-Madison" positions
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Field
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oversee installation of building automation systems, communication networks, computers and instrumentation hardware. Ability to install and oversee installation software algorithms for distributed
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to biomedicine. The Ideker lab also supports multiple open-source software projects, some with 10K+ users. The Research Software Developer will work under the supervision of the senior members of the software
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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(Required) Experience creating and utilizing statistical algorithms and conducting power calculations to determine sample size to answer complex research questions. (Required) Demonstrated experience working
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recognition neural networks (e.g., Tsetlin Machines, Graph Neural Networks, RNNs for time-series causal discovery, XGBoost). AI-driven heuristic search (e.g., genetic algorithms, genetic programming, simulated
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, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e. clinical data, imaging data, genomic and omics data, device and
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understanding of HLA donor search algorithms and other non-HLA factors, such as ABO, age and CMV status. Analyze donor searches and apply current donor selection algorithms and strategies. Responsible
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Details: Senior Data Scientist (P3) Duties: Analyze, manipulate, or process large sets of data using statistical software and SQL. Collect and combine data from multiple sources. Clean and manipulate raw
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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bioinformatics research coupled with wet-lab investigations, working in the areas of network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. We also support multiple open