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Field
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
recommendations for the effective adoption of these solutions. You should possess a relevant PhD/DPhil (e.g. in Design, Business, Engineering or a related discipline) and sufficient specialist knowledge in
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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. There are multiple opportunities to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research
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collaboration between the research team at all institutions, sharing knowledge, expertise, data, and findings. ABOUT YOU Applicants should hold a PhD in Ecology or allied discipline, and have demonstrable
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, the department has research in bioprocess technology, molecular biotechnology, enzyme technology, metabolic engineering, synthetic biology, biomolecular, and biohybrid materials. Requirements Recently obtained PhD
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
of these solutions. You should possess a relevant PhD/DPhil (e.g. in Design, Business, Engineering or a related discipline) and sufficient specialist knowledge in the discipline to work within the established research