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undertake ground-breaking research in the fields of impact engineering, shock- physics, and materials science, involving elements of both experimental and computational physics. You will be based at Begbroke
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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work in close collaboration with the teams at the Max Planck Institute of Microstructure Physics (Prof. Xinliang Feng) and at the Dresden University of Technology (Prof. Thomas Heine). About the Leiden
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science or engineering related discipline. To apply, please contact Prof. Lev Sarkisov - lev.sarkisov@manchester.ac.uk . Please include details of your current level of study, academic background and any
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, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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-chemical-physics/ ) led by Prof. Alexandre Tkachenko at the Department of Physics and Material Science, we are looking for a PhD candidate to perform molecular dynamics simulations of different genetic
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 4 hours ago
by Wednesday 11 June 2025. Please see the advice on the Entry requirements for postgraduate research programmes . Please apply to the programme “PhD Geography (Science)” on the How to apply
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The candidate will be embedded in the Theory cluster at the Leiden Institute of Advanced Computer Science, supervised by Dr. Tobias Kappè and Prof. Dr. Marcello Bonsangue from the System Modelling and Analysis
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level university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several of the following topics: Computer Vision