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, and PhD and master student supervision Profile PhD (or nearing completion of) Background in experimental neuroscience, computational neuroscience, and/or robotics Strong computational and analytical
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our broader scientific vision. Main duties and responsibilities Working and collaborating on research projects; Analysis, communication and publication of results; Participate in PhD and master student
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collaborating with colleagues across Oxford with expertise in cryobiology, mitochondrial biology, reproductive medicine and metabolism. You will hold, or be close to completing, a PhD in reproductive biology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
and outside UNC-CH. Minimum Education and Experience Requirements Doctoral degree (PhD or equivalent) in biomedical engineering, computer science, biomedical data science, physics, computational
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics, optics, photonics, applied physics, electrical engineering, or a related discipline, earned no
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related
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supervision responsibilities. You will report to the Markus Rinschen, Associate Professor. Your competences You have academic qualifications at PhD level, for example within (but not limited to) the following
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qualities We are looking for an enthusiastic and collaborative researcher with a strong technical background and an interest in societal impact. You have: a PhD in GIScience, geoinformatics, spatial data
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior