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Field
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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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, 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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. 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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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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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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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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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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Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with the graduate program, one of the largest in the Faculty of Medicine, which has been recognized by UBC for its quality. The Department plays a
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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