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, and machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
, we will engineer smart CAR T therapeutics for solid tumors. Condensates, Chromatin and Translational Control in Pediatric Cancer (Grebien Lab , CeMM/St. Anna CCRI). We develop quantitative and
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machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 2 months ago
. Our partners are the Medical University of Vienna, the St. Anna Children’s Cancer Research Institute (St. Anna CCRI) and AITHYRA. Selected candidates will join one of CeMM’s or St. Anna CCRI’s research
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning
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of work: We combine a unique methodology of recording the activity of single neurons in humans with advanced analytical approaches, such as machine learning and multidimensional analyses, to better
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Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at
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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
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Offer Description KEYWORDS: bioinformatics, metagenomics, metabolomics, cancer, machine learning, artificial intelligence Principal Investigator