223 structures "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs in Denmark
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knowledge and tools verified by proof assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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for teaching (1-2 pages) Vision for research (2-3 pages) # CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation
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file. The file must include: Application (cover letter) Vision for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http
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@sund.ku.dk. For information on the faculty, please visit www.sund.ku.dk. Foreign applicants may find this link useful: http://www.ism.ku.dk/ (International Staff Mobility). Application Please submit
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. Further information Further information may be obtained from Professor Peter Vilhelm Skov, e-mail: pvsk@aqua.dtu.dk You can read more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about
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University here: http://international.au.dk/research/ Terms of employment The appointment is made in accordance with the Memorandum on Job Structure for Academic Staff at Danish Universities as
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sequence analysis Single cell analysis Protein structure prediction Cancer multiomics analysis Genotype to phenotype mapping You are expected to contribute to strengthen the deep learning focus
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sequence analysis Single cell analysis Protein structure prediction Cancer multiomics analysis Genotype to phenotype mapping You are expected to contribute to strengthen the deep learning focus