295 computer-"https:" "https:" "https:" "https:" "Dublin City University" research jobs in Denmark
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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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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
interdisciplinary center for research and education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organization with 70 employees and visiting researchers from
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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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Professor at Aalborg University (profile: https://vbn.aau.dk/da/persons/jajh/ )The project team consists of the principal investigator, two postdoctoral researchers, and a research assistant working closely
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The project will involve both experimental and computational work and the candidate is expected to be comfortable with both. The candidate is expected to have (or be close to finishing) a Ph.D. in molecular
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research assistant in our ferroelectric thin-film program, you will gain hands-on experience with advanced deposition, laser processing, and nanoscale characterization while contributing to groundbreaking Fe
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(cover letter) Vision for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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the relevant union. The starting date is 1 May 2026. The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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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