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Field
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, please submit your CV along with a separate document responding to the selection criteria below. Essential A PhD in mechanical/mechatronics/materials engineering or a closely related discipline
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biological validation experiments. Supporting integration of biological workflows with automated imaging, manipulation and sampling technologies. Working closely with engineers and software developers
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in Chemical Engineering, Materials Science & Engineering, Nuclear Engineering
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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 requirement
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to: Develop AI and machine learning workflows to analyse microscopy and high-content imaging data from advanced in vitro models. Build computer vision pipelines for image segmentation, tracking, phenotypic
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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, computer vision and advanced software engineering to challenging biological imaging problems. This is a rare opportunity to join VISIBLE at a defining moment, as the project moves from an advanced academic
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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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/PhD in Geosciences, Environmental sciences, remote sensing or computational sciences or image vision and related fields Language skills: Excellent English skills, German is beneficial Desirable skills
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Experience: PhD in Neuroscience, Biological Sciences, Physiology, Biomedical Engineering, Psychology, or a relevant field required. City: Piscataway State: NJ Physical Demands and Work Environment: PHYSICAL