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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in computational nanophotonics. The goal is to use inverse design, such as topology optimization
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2-year Postdoctoral Research Fellow position with focus on Cryptography at Computer Science Aarhu...
Department of Computer Science at Aarhus University (Denmark) invites applications for a 2-year Postdoctoral Research Fellow position with focus on Cryptography. The position is funded by
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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2025, or as soon as possible thereafter. The project explores two parallel technological routes for converting captured carbon dioxide into microbial biomass: One fully biological, and the other a hybrid
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critical formulation quality attribute. MAP’ can be produced by different fabrication methods, which in many cases uses organic solvent containing the polymer that will form the MAP solubilized and LNG
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Centre for Quantum Mathematics (QM) at Department of Mathematics and Computer Science (IMADA), University of Southern Denmark (SDU) invites applications for several 3-year PhD positions in quantum
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imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling, proteomics
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science (PDS) within the area of pharmacoepidemiology and pharmacovigilance. It will be the responsibility of the candidate to establish a portfolio of research within AI methods in observational drug