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technologies, analytics, and artificial intelligence in the healthcare sector. Candidates with a strong background in their disciplinary theories are preferred. We welcome applications from candidates motivated
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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization
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. The research will be conducted in close collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in
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collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in the Philosophy Discipline. The skills required
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, collaborating across disciplines to tackle fundamental challenges through innovative methods, theory and critical analysis. The fellowship period is 3 years. Starting date as soon as possible and upon individual
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benefits in the State Pension Plan Opportunity for physical activities within working hours Salary PhD Research Fellow (code 1017): NOK 550 800 a year. Further promotion will be based on time served in
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internationally. The group also seeks to contribute to knowledge production in interdisciplinary democratic theory, innovative methodological and democratic experiments, and to maintain a close collaboration with
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, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis
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groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis, critical algorithm studies, ethnography and
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adaptive trials, stepped wedge trials and cluster trials. You will have good knowledge of applied statistics and statistical theory, especially for pragmatic trials and complex randomisation systems. You