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PhD qualification and significant experience in transdisciplinary or engaged research on societal transitions involving multiple actors, preferably in the marine sciences. Extensive competence and
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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Applications are invited for a Research Assistant to join the Mental Health Neuroscience lab led by Professor Camilla Nord at the MRC Cognition and Brain Sciences Unit, University of Cambridge
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on the verge of holding, a PhD in a relevant field, such as DNA nanotechnology, computer science, bioengineering, synthetic biology, molecular self-assembly, physics, biology, or chemistry. You should
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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. publish internationally and give lectures. apply for projects and raise third-party funds. teach courses in the master's programme "Philosophy and Economics" (within the scope of the provisions
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 16 days ago
. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a candidate with an interest in flight mechanics and sensory systems
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experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong theoretical and practical background in semiconductor device
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely