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properties, e.g. high processability while maintaining an open porous structure. However, their fundamental vibrational behavior remains poorly understood. This limits the possibilities to enhance
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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will involve both computational predictions and experimental validation. The project will combine density functional theory calculations with machine learning and molecular dynamics simulations
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communications, signal processing, or related fields at master’s level is essential. This includes a thorough understanding of the fundamentals, as well as modelling, simulation, and evaluation tools such as
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studies (e.g., interviews and/or observations) examining clinical leadership practices in reform implementation and change processes at hospital level and across organisational boundaries. These methods
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will: Develop robust control strategies that leverage semantic data structures for rapid deployment. Create workflows to bridge BIM, energy simulation engines (e.g., EnergyPlus, Modelica), and control
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computational modeling of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes
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) for measuring the quality, shape and the neutron focusing performance of the Wolter optics. The work will be performed in close collaboration with a postdoc who will work on simulating the optimal design of
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procedure Your complete online application must be submitted no later than 12 March 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration