288 computational-physics "https:" "https:" "https:" "https:" "IFM" "IFM" Postdoctoral research jobs in Denmark
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position is full-time, starting 1 June 2026 (or as soon as possible thereafter), and is initially for two years. As part of the recruitment process, a shortlisting procedure will be applied. Expected start
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designs. Visit his group webpage (http://mbg.au.dk/yuya-hayashi/ ) for further information. Yuya also organises a cross-departmental network of extracellular vesicle researchers at Aarhus University, EVAnet
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strong background in computational condensed matter physics. Experience with first-principles electronic structure methods and scientific programming is expected. The ideal candidate is highly motivated
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and technical-administrative staff and you have a flair for establishing collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is
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This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University. The postdoctoral
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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at the Department of Physics. The position is available from the 1st of May 2026, or as soon as possible hereafter. Job description Your research will look at a special class of porous metal-organic frameworks (MOFs
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized