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and behavioural experimentation. Key research tasks include: Developing learning-based behavioural models of navigation, route choice and adaptation; Applying reinforcement learning, probabilistic
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power take-off under realistic environmental and operational conditions. A key objective of the project is the development of probabilistic and physics-informed models to quantify uncertainties related
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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detection to identify and characterise deviations from normal system operation in a principled, probabilistic manner. Your competencies We are looking for a motivated candidate with: A Master's degree in
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to participate in international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
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a SU PhD scholarship is that you are enrolled as a PhD student at the Graduate School at Arts. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research
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on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 43. Questions For specific