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One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
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interventions for people of African and Caribbean origin. Rebecca Hardy is Professor of Epidemiology and Medical Statistics, and she has been at the forefront of developments in life course epidemiology for over
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in a related discipline would be expected. Medical and veterinary graduates are encouraged to apply. A Master’s degree in related subject is desirable and previous experience in statistical
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to the role (such as BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner A proficiency in using statistical and/or analytical software packages such as
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collaborate with top-scientists on aspects including muscle-on-a-chip and statistical modelling, giving large opportunity to perform impactful research! Information and application Apply by August 18th, 2024
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, PowerPoint, Access, Zoom, and Teams. Preferred Qualifications Skills with survey building software such as REDCap and experience with statistical software (e.g., SPSS) and IRB submissions preferred. Equipment
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world modeling, machine learning, probabilistic reasoning and logic reasoning. Solid mathematics foundations, especially statistics, linear algebra and discrete mathematics (graphs, logic); Team player
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mathematics foundations, especially statistics, calculus and linear algebra; Team player and willing to work in a multidisciplinary team of engineers, technicians and scientists. Programming skills using
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. Need to have: Completed Masters degree in computational social science, analytical sociology, complex systems science, urban studies, spatial economics, social statistics, economic geography or other
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credits/ECTS in nutrition, biomedicine, pharmacy or biotechnology expertise in statistics, biostatistics, bioinformatics or similar. written and verbal proficiency in Norwegian/Scandinavian language and