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apply our expertise in beta cell/islet biology to carry out functional analyses of stem cell-derived islets in vitro and in vivo. The successful candidate will have a PhD in a relevant biomedical sciences
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sciences or similar and previous work experience in a research laboratory. Interest in interdisciplinary research across RNA biology and neurobiology, clear oral and written communication skills, desire
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learning and spatial biology within the field of translational cancer research. The project will entail algorithm development and deployment of deep learning approaches for histomorphological
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to, the following topics: Machine Learning and Data Mining Algorithms, Algorithmic Game Theory and Mechanism Design, Computational Biology and Bioinformatics, Parallel and Distributed Computing, Combinatorial
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of the basic radiation dosimetry principles. Optional experimental work spans molecular biology, in vitro cell studies and preclinical in vivo therapy and radionuclide SPECT and/or PET imaging studies