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is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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, understanding hydrate formation and dissociation mechanisms, and advancing experimental methods, process design, and equipment development. The position also includes participation in broader CCUS research
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policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and
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in addressing complex organizational and societal challenges. The successful applicants will be expected to teach and supervise students across all levels. Our study programme portfolio includes an MSc
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using advanced analytical techniques, rheological analyses, as well as more general within biochemistry, food chemistry and/or food physical techniques Documented expertise in isolating and analyzing
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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cognitive science. We are looking for an applicant who can strengthen our research profile in computational modelling of cognitive processes and/or computational modelling of social processes. The ideal
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Aarhus BSS Graduate School invites applications for admission to the PhD programme. Aarhus BSS encompasses a wide range of academic disciplines and outstanding research environments within
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. Qualifications We are looking for a highly motivated researcher with a background in atmospheric chemistry, physics, mathematical modelling, climate science, or related fields. The ideal candidate should have