296 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" Postdoctoral positions in Denmark
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received no later than 2 April 2026. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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at the Technical University of Denmark (DTU) please inspect www.surfcat.dtu.dk . Should you have any queries regarding the positions, please contact Professor Ib Chorkendorff at icho@dtu.dk . If you are applying
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team
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26306659 Simon.wall@phys.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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Europe project under the supervision of Associate Professor Anna Schneider-Kamp and Professor Søren Askegaard. The position is located at SDU’s Campus in Odense and is vacant from 1st April or soon
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group ‘T cells & Cancer’, under supervision of Professor Sine Reker Hadrup. We are world leaders in detection and modification of antigen specific T cells and will in the current project apply novel
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of computational methods. Your job responsibilities As a Postdoc your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through
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the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Ming Chen (minc@dtu.dk ) and you
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
for environmental challenges, are also encouraged to apply. The postdoctoral researcher will work within an interdisciplinary team of computational and applied scientists. The work will be done in close collaboration
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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