26 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions at University of Copenhagen
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include data science management and development of novel and executing existing computational methods including machine learning and deep learning methods to integrate genomics, transcriptomics and
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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amount of travel to the facilities and/or a longer stay of some months is expected for the successful candidate. The project will be carried out in the group of Prof Lo Leggio (leila@chem.ku.dk
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Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226660 Is the Job related to staff position within a Research
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or as soon as possible thereafter. The successful candidate will be working on statistical methods, scientific programming and analysis projects together with external collaborators and together
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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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pharmacology studies. In addition to being an integral group member, you will be a part of the technician community at CBMR. The job will involve both routine assignments, lab organization, assay/method
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international, regional, and national routes to accountability and remedy for victims and the successful candidate will join the MERCURY team in applying a ‘mixing methods’ methodological approach where we employ