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Materials (CQM) group led by Prof. Jose Lado and work under the supervision of RCF Fellow Dr. Adolfo O. Fumega. Requirements We seek a highly motivated student with: A Master’s degree in physics, chemistry or
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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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, e.g., in C++, Python or Matlab. As well as experience with running programs on quantum simulators and quantum computers. - Familiarity with the basic concepts of error correction codes. - Knowledge
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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. The studentship will commence from September 2025 onwards, under the supervision of Dr Rebecca Baggaley and Dr Johan H Thygesen (IHI, UCL), Dr Rachel Burns (Institute of Epidemiology and Health Care, UCL) and Prof
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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration
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of Wageningen University and Research. You will be supervised by Dr Imme Benedict and Prof. Jordi Vila Gureau de Arrelano (chair group holder). Your qualities You are/have: A successfully completed – or soon
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relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
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ID: PMP_TRR408_C5 Investigators: Prof. Dr. Allister Loder, TUM Professorship of Mobility Policy, and co-supervised by at least one leading international researcher Requirements