60 postdoctoral-image-processing-in-computer-science Fellowship positions in United States
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advanced techniques, including patch clamp, optogenetics, fluorescence imaging, auditory brainstem response (ABR), stereotaxic surgery, RNA-seq, and computational modeling. This is a grant funded position
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in the position and outline skills and experience that directly relate to this position. Job Summary We are seeking a highly motivated Postdoctoral Research Fellow for a 12-month appointment focused
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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-funded positions for postdoctoral fellows to undertake projects related to auditory perception, reinforcement learning, and neural plasticity. We study questions at a variety of levels, Ranging from
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. (pierre.apostolides@umich.edu ). Job Summary The Apostolides Lab has multiple, fully-funded positions for postdoctoral fellows to undertake projects related to auditory perception, reinforcement learning, and neural
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language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and alignment. AI Postdoctoral Research Fellows will be appointed through the Princeton
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experimental and computational work under the supervision of the Principal Investigator. Collect and process tissue samples towards histopathology and spatial sequencing experiments. Extract RNA/ DNA from
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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by identifying “the right drug for the right patient at the right dose”. The candidate will also work with, and be co-mentored by, exceptional scientists in Human Genetics and Computational Sciences