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Postdoctoral Fellow/PhD-trained Scientific Associate position is available in the laboratory of Dr. Giuseppe Giannotti, in the Department of Integrative Physiology and Neuroscience (IPN) at Washington State
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progress in optogenetics have allowed to activate neuronal circuits precisely. Here we will use these tools to control the cochlear output and activate optogenetically cochlear hair cells in vivo. Optical
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teams within uOttawa’s growing neuroscience community. Qualifications: PhD in neuroscience or a related field. Experience with molecular biology, RNAseq, and mouse behavior Experience with coding is an
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Energy Laboratory (NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our
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judgments and human fMRI and M/EEG data, shedding light on how changes in circuit structure result in aberrant perception in mental disorders. The successful candidate will work with a team of theorists and
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, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine
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groundbreaking discoveries that can improve lives. Join our dynamic, collaborative team and play a key role in driving innovation and contributing to meaningful advancements that shape the future of science and
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The Joy lab is looking for a motivated postdoctoral candidate interested in studying circuit repair and motor behavior after stroke with the goal of identifying translatable therapies for stroke
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
environment designed to facilitate career growth and path to independence. Minimum Education and Experience Requirements PhD (and/or MD) or similar degree in molecular biology, cell biology, genetics
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optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in