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use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking for the best
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on these problems, and use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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in accordance with the salary agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary (only available in
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. Application and contact Please submit your online application no later than 15 March 2026 (23:59 Danish time). Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam
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authorities, and the other DeiC departments working with quantum computing and data management. We help facilitate Danish researchers’ access to the LUMI supercomputer, which ranks in the Top 10 fastest in
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contact Please submit your online application no later than Wednesday, 25 February 2026 (23:59 Danish time). Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam
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paths at DTU here . Further information Further information may be obtained from Professor Julia Kirch Kirkegaard (jukk@dtu.dk ) and/or Section Head Tanja Schneider (tansch@dtu.dk ). You can read more
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) and fourteen associated partners including six from industry and two start-ups. More information may be found on MICROSUNSET . To be eligible for a MICROSUNSET PhD-position, you must not have lived
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Determine T cell phenotype and transcriptomic characteristics Integrate T cell data with other adaptive immune parameters. Making high quality peptide-MHC reagents to explore T cell recognition How can we