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years. Applications for a 4+4 PhD programme are also welcome. The proposed starting time is spring 2026, with some room for flexibility. The appointment will be made at a competitive salary and will
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, reaction kinetics and dynamics, and theory/simulation of ultrafast time-resolved experiments. will be a part of the Physical Chemistry section at DTU Chemistry (https://www.kemi.dtu.dk/english/research
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will be 16 May 2026, or as soon as possible thereafter. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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the relevant union. The start date is 1 March 2026. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Professional Associations. The allowance will be agreed upon with the relevant union. Starting date is 1 July 2026. Location: DTU Electro, Campus Lyngby. The position is part of DTU’s Tenure Track program. Read
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
and Molecular Medicine (ICMM) Information on the department can be found at: https://icmm.ku.dk/english/ The position We are seeking a highly motivated and enthusiastic PhD student with backgrounds in
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), University of Southern Denmark in Odense, you will be part of the Robotic Intercropping (https://roboticintercropping.eu ) team working to break new ground at the absolute forefront of what is possible in safe
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DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning