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candidate will contribute to a fundamental research program exploring the chemical and physical principles of peptide ionization and fragmentation in LC-MS/MS – with particular emphasis on the analytical
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and
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master's degree in one of the following areas: Bioinformatics, Biology, Engineering, Computer science or related fields, and have experience doing research within Bioinformatics. You must moreover exhibit
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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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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
the relevant union. Starting date is 1 April 2026 (or according to mutual agreement). The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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, microfabricated devices, 2D materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. For all topics, experience in
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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transporters are LAT1, SNAT2 and PAT1 as these have all been implicated in cancer. The project will do this via computational modeling and design using AlphaFold3.0 and available protein structures and ligand