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experience in digital ethics, technology policy, or the societal implications of digital technologies. A strong publication record or evidence of potential for high-quality peer-reviewed publications relevant
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES
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in residence for duration of appointment; during appointment revise doctoral dissertation or complete research project resulting in publishable manuscript; provide one lecture as part of the CEAS
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project resulting in publishable manuscript; provide one lecture as part of the CEAS Postdoctoral Associates Lecture Series; and teach one undergraduate course for majors in East Asian studies. Proposals
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highly motivated to impact patient outcomes through translational approaches to the treatment of T cell malignancies. Experience with in vivo mouse immunotherapy models, protein/antibody engineering and
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), or reinforcement learning (RL) post-training. Experience with multi-GPU training and a strong working knowledge of reinforcement learning are also required. Familiarity with standard software development tools
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invites applications for a postdoctoral position. The successful candidate will be driving cutting-edge research into the mechanisms and engineering of cell–cell fusion and cell signaling in human
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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doctoral degree in epidemiology, biostatistics, computer science, engineering, environmental health sciences, social and behavioral sciences, health policy, medicine, or other areas in life or data sciences
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biomedical engineering, physics, or a related field is required. The successful candidate will be expected to plan PET imaging studies, conduct them together with a team of other scientists and research