624 algorithm-"Multiple"-"U"-"Prof"-"Simons-Foundation" "University of Wisconsin Madison" Postdoctoral positions in United States
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Field
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clinical translation. Our work is supported by multiple NIH grants, including funding from NIAMS, the NIH AMP-AIM Team Science Leadership Scholars Program, and the Office of Research on Women’s Health, as
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to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Security, Credentialing, and
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activity in ulcerative colitis patients with transcriptional changes in a longitudinal patient cohort, develop deconvolution algorithms, extract features from H&E sections etc. Bacterial metabolism and host
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-investigators, collaborators, and project personnel across multiple sites to move projects forward. Maintains project databases, tracking and reporting on project components to ensure timelines are adhered to and
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the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York
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vectensis. Depending on expertise and interest, the successful candidate may work on one of multiple areas of focus that are available. The postdoctoral associate will be mentored and encouraged to seek
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core facility; (4) testing compounds of interest in iPSC-derived neurons and (5) collaborating with multiple labs to coordinate further in vitro and in vivo testing of select compounds in preclinical
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non-genetic factors in determining risk, survival, and disparities of common cancers, with a special focus on prostate cancer, breast cancer, and multiple primary malignancies. The postdoctoral
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection