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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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for Public Administration, Welfare, and Politics (PAWP) in relation to the CALi project headed by Associate Professor Matthias Döring (funded by DFF, titled “Navigating the System – Citizens’ Administrative
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be supervised by Professor Katrine Qvortrup (DTU Chemistry) in collaboration with Asst. Prof. Eli N. Weinstein (DTU Chemistry), and Prof. Tim Tolker-Nielsen (UCPH Immunology & Microbiology), and is
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
postdoc cannot stand alone as a qualification for later employment as associate professor/senior researcher. The successful applicant will be employed in accordance with the agreement between the Ministry
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initially for two years with the possibility of extension. We are seeking a highly motivated researcher who is excited to play a key role in developing an ambitious research programme and establishing
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Application Deadline 1 Jun 2026 - 12:00 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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from Associate Professor Timothy P. Jenkins (tpaje@dtu.dk) You can read more about DTU Bioengineering at www.bioengineering.dtu.dk If you are applying from abroad, you may find useful information
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Matteo Fumagalli, mafum@dtu.dk . You can read more about the
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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at Aarhus University in Denmark and collaborates with industry and authorities to identify new solutions to reduce atmospheric CO2 levels. Research group The electrochemical section, led by Professor Kim