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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
(Deutsches Elektronen-Synchrotron/German Electron Synchrotron) and Scanning Kelvin Probe Force Microscopy (SKPFM) for visualising the distribution of cathodic phases in bulk and on plane, along with integral
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Students (f/m/x) Research Focus IMPRS-GS: Projects span experimental (genomics, transcriptomics, proteomics, etc.) and theoretical (bioinformatics, computational biology, etc.) disciplines. GönomiX: Focuses
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or neurological diseases? Driven to strengthen your scientific creativity and independent thinking? Up to 18 PhD positions are open in the international Marie S. Curie Doctoral Programme ‘Interdisciplinary Marie S
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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
for both life scientists and computational scientists/machine learning experts will start in September 2026. We offer: a highly interactive introductory program in a supportive peer-group environment
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a M.Sc. in chemistry (for 5+3 programme). Candidates close to defending their M.Sc. thesis are also welcome to apply (M. Sc. defence must be completed prior to start date for the 5+3 program). We
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diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide chemistry is required, as well as a
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The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark, Odense, invites applications for a PhD position in algorithms. The position has a duration of 3
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular