154 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Technical University of Denmark
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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 rules for the PhD education . Assessment
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university
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for e-DAC. The research will involve molecular-level modeling and data-driven analysis to guide the design of redox-active capture materials, combined with experimental validation in electrochemical cells
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent
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. Starting date is 15 April 2026 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be
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at DTU here . Further information Further information may be obtained from Senior Researcher Dennis Christensen, dechr@dtu.dk , +45 20961946. You can read more about our department DTU Energy at
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) Molecular thermodynamics for water Obtaining structural information of water and electrolyte solutions from advanced experimental techniques, including infrared and/or Raman spectroscopy with support from
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experiments on the behavior of emerging contaminants in porous media Performing quantitative data analysis and interpretation of experimental results Working in close collaboration with modelling activities
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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training pipelines using modern ML frameworks Generating data on miBd–pMHC interactions to guide iterative model optimization, espeicially for specificity Benchmarking AI-designed recognition modules against