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Field
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of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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grants and supervision of graduate and undergraduate students Provide logistical support pertaining to laboratory operation for the project Job Requirements: PhD (for Research Fellow and above equivalent
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. For systems neuroscience focus: Experience with stereotaxic surgery in rodents, optogenetics and in-vivo microendoscopic imaging. For systems neuroscience focus: Experience with large-scale electrophysiology
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high
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University of Stavanger invites applicants for a PhD Fellowship in information technology applying artificial intelligence in medical imaging at the Faculty of Science and Technology, Department of Electrical
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molecular, cellular and embryological techniques, quantitative imaging, genomics including from single cells, genome engineering and computational biology methods to study development and regeneration, at a
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, Immunostaining Assisting and handling mice work such as animal husbandry, live ophthalmic imaging, dissection, and processing of mice eye tissues Contributing to the writing and presentation of project updates
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the lab and have the opportunity to mentor PhD students in their research. If you have a PHD in physics, electrical engineering, computer science and experience and/ or strong interest in image
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technologies into smart infrastructure solutions. About Us The Faculty of Science and Engineering is a young and dynamic faculty driven by the spirit of discovery. Here we nurture the next generation of science