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the Department of Program Development at CED. Place of employment is Trøjborgvej 82-84, 8000 Aarhus C, Denmark. The hiring process In connection with your motivated written application, you must attach
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the project will be the development of physics enhanced data driven methods to achieve reliable prediction of residual usable life of milling tools. The approach will be validated by application to industrial
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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The section for the Physics of Ice, Climate and Earth at the Niels Bohr Institute, the Complex Physics group at the Niels Bohr Institute, the Danish Meteorological Institute (DMI) and the Northumbria University
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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, and characterization of such devices. Responsibilities and qualifications The focus of this position is to help advance the development of a reliable and efficient dual-fuel HT-PEMFC using multi-physics
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properties of the extracted compounds, (iv ) scale-up the optimized extraction process for potential industrial application. This is a unique opportunity to contribute to sustainable food innovation while
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The Section for Environmental Chemistry and Physics invites applicants for a PhD fellowship in advanced bio-oil analytical chemistry. The project is part of the research project “UPBIO”, which is
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everything from basic science to strategic and applied research. The activities encompass research and education within materials, mechanics, physics, production, and industrial management and innovation
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to carry out high-quality research on the modelling of power system balancing process for future sector-coupled European energy systems. The task will include assessment of reserve requirements and