29 parallel-computing-numerical-methods-"DTU" positions at University of Copenhagen in Denmark
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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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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
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on women displaced with children and applies qualitative, visual and ethnographic methods in studying their everyday life, local and transnational relations and encounters with the Danish welfare state (Work
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the evidence to promote companion animal health and welfare, disease prevention, infection control, antimicrobial stewardship and evidence-based teaching methods. Our research group is responsible for and is
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Senior Analytical Chemist/Platform Manager in mass spectroscopy and chromatography – LC-MS and GC-MS
for the funding of new equipment. Together with the technician, the Platform Manager will advise and train the users, assist in developing methods, planning metabolomics experiments, analyze samples, manage booking
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time very flexible. As our experiments are usually computer-based, some programming experience is an advantage. It is not a prerequisite, however. Terms and conditions The employment is made in
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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic
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completion). Expertise in qualitative research methods, particularly process-tracing, elite interviews, and comparative case study analysis. Strong knowledge of business power, regulatory governance, and
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technologies for removing PFAS “forever chemicals” from the environment. You will collaborate with Prof. Anders Krogh’s group, Department of Computer Science, UCPH, on applying ML for protein-ligand predictions