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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy researchers. The successful candidate will lead development of variable importance measures – including
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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interest in novel approaches to estimate brain metabolism. Additional Qualifications Special Instructions Candidates should upload the following materials: 1. A curriculum vitae 2. A 2–3 page cover letter
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publications or writing samples, which may be from pre- or post-doctoral work, a dissertation chapter, or a manuscript in process. Publications are intended to gauge the research and writing capability
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manuscript in process. Publications are intended to gauge the research and writing capability of applicants and do not necessarily need to be on the topic of the proposed concept note. Application deadline is
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beyond biochemistry) or in chemical computation. Responsibilities: 1. Conduct experimental or computer modeling/phenomenology research on any of the following: (1) Polymer Chemistry and Self-assembly (e.g
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, matrix factorization, network community detection and mixed membership estimation, topic modeling, word embedding, and reinforcement learning. The appointment will be for up to two years with annual