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instruments, data analysis as well as theoretical and numerical modelling provide excellent research opportunities for PhD students. Solar system science research subjects include cosmochemistry, small bodies
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Requirements: PhD in Biomedical Engineering, Electrical Engineering, Neuroscience, Computer Science, Psychology, or closely related field Demonstrated MEG analysis experience (FieldTrip/Brainstorm/MNE-Python
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-body contributions. Tasks: Independent scientific collaboration on the above-mentioned project Data analysis and interpretation, numerical modeling, and preparation of scientific publications
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23 Feb 2026 Job Information Organisation/Company Centrale Lille Institut Department North Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 15 days ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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will play a key role in strengthening and expanding the group’s computational capabilities for the simulation, analysis, and optimization of advanced thermal energy systems and processes. This includes
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methodological research interests, and could contribute to delivery of Masters level teaching, and supervising postgraduate research students. You should have a Masters and PhD, or equivalent work experience, in
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general relativity, geometric and mathematical analysis of the Einstein equations, analytical and numerical approaches to strong-field dynamics, relativistic and mathematical cosmology, relativistic matter
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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, with a strong background in one or more of the following areas: ice dynamics, numerical modelling, subglacial processes, geophysical data analysis, the use of remote sensing in geoscience. Experience