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additional information, and if so, it is the responsibility of the candidates to provide the necessary material. Shortlisting may be used in the assessment process. Please note that only shortlisted applicants
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, mn@agro.au.dk. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment
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departments. Contact information For further information, please contact: Dr., Peter Zeller, peter.zeller@mbg.au.dk Deadline Applications must be received no later than 23 February 2026. Application procedure
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, christina.ingvardsen@agro.au.dk. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment
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to Denmark . Application procedure Your complete online application must be submitted no later than 6 March 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials
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information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk@inano.au.dk . Application procedure Shortlisting is used. This means that after
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information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 24 March 2026 (23:59 Danish time). Applications
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. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted
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information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 27 February 2026 (23:59 Danish time
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge