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Field
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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FieldPhysicsEducation LevelMaster Degree or equivalent Research FieldOtherEducation LevelMaster Degree or equivalent Skills/Qualifications • Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering
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of the computer languages Knowledge of IoT Working on board ships The candidate is expected to submit a research plan to show their knowledge of ship speed-power performance. The plan should include a
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of memory sites. The thesis will be conducted within the ANR-funded project ITS-STORY, a multidisciplinary partnership involving computer scientists, historians, ergonomists, and the Mémorial de l'Internement
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team of neuroscientists, computer scientists and clinicians Your Profile: Excellent university degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python
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& Image Sense lab (VIS lab), at the University of Amsterdam. VIS lab is a world-leading lab on Computer Vision and Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty
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mobility: research stay at the University of California - Structures-Computer Interaction Laboratory, Los Angeles Additional Information Work Location(s) Number of offers available1Company/InstituteIMT Nord
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requirements The successful PhD candidate will have: Master’s degree (or equivalent) in Design Sciences, Human-Computer Interaction, Disability Studies, Social Sciences or a related field. Ability and
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for the prevention of IAI. The person taking on the project will need to work closely with the clinical teams and the patients and to do laboratory and computer-based work. A clinical qualification is not a
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(DynamX) to capture arterial behaviour. Apply computer modelling to process, interpret, and integrate experimental results. Collaborate closely with biomedical engineers, clinicians, and basic scientists