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questions relevant to the advancement of human health. Appointees are expected to teach at the undergraduate or graduate level. The University of Chicago is a vibrant center of scientific discovery and
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cohorts and data generation resources through highly collaborative clinical faculty. Ideal candidates will have expertise in computational modeling, machine learning, or algorithm development, with
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profiling, and other cutting-edge, high-dimensional tissue analysis approaches to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning
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assemble in infected cells and selectively package their RNA genomes. More information about the lab and their work can be found by visiting https://www.hhmi.umbc.edu . About the Postdoctoral Scientist role
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of immune cell function. These projects are focused on making safer and more effective cell therapies (e.g., CAR-T) and gene therapies for cancer and beyond. We are an interdisciplinary lab spanning
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of results. Highly motivated and have good communication, project management and organisational skills. Willing to learn new skills and techniques. Desirable Experience in proteomics and cancer models would be
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training and research focus in statistics, data science, machine learning or artificial intelligence (as evidenced by thesis/dissertation topic and their publication record), and hold a PhD (or equivalent
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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Interfolio to: https://apply.interfolio.com/176454 The review of credentials will begin immediately and will continue until the position is filled. Equal Employment Opportunity Statement For people in the EU
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periods for learning, and how individuals’ innate variations interact with experience to give rise to differences in learned behaviors. The team focuses on vocal learning in songbirds as a model system to