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Field
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phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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health data, c. QA/QC of collected and analyzed data and data validation and verification against independent sources, d. data summary and analyses, e. modeling of individual or multiple elements
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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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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and
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! The Clinic focuses on inflammatory diseases of the central nervous system, especially multiple sclerosis. As part of the Department of Neurology, we study the pathogenesis and treatment of this and other
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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
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-resolution MS platforms is a strong plus Willingness to manage and initiate cooperative projects Service-oriented mind-set with excellent organizational and communication skills; ability to manage multiple