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Embryogenesis, funded by UiO's interdisciplinary strategic initiative UiO:Life Science. GENESIS brings together active matter physics, cell biology, and computational biology to address the fundamental processes
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, immunohistochemistry, and fluorescence imaging. Coordinate and execute behavioral studies to assess cognitive and motor deficits, including Morris Water Maze (MWM), Novel Object Recognition (NOR), and Fear Conditioning
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with other members of the lab, and attend mandatory lab meetings. Perform assigned lab duties to assist in the maintenance of stock reagents or the general operation of the lab, and various other duties
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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. About You You will have, or be close to completion of a PhD/DPhil in Statistics, Machine Learning, Data Science, or a related quantitative discipline. You will demonstrate strong specialist knowledge in
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. Experience in neurobiology of addiction, animal behavior (self-administration, stereotaxic surgery), and/or molecular techniques (PCR, western blot, immunohistochemistry). Experience in neuronal imaging is a
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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on the effect of the language environment on auditory speech processing during early development. The postdoctoral researcher will actively participate in experimental design, data collection and analysis, and
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: Job Requirements: Required: PhD in computer science, biomedical informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based