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), 084004, 2025. [2] M. Bestehorn, D. Sharma, R. Borcia and S. Amiroudine, “Faraday instability of binary miscible/immiscible fluids with phase-field approach”, Phys. Rev. Fluids, 6, 064002, 2021. [3] A
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, statistics or fluid dynamics Excellent knowledge of statistics Proven knowledge of Python, R, Matlab or a similar programming language Experience with Linux/UNIX environments Excellent oral and written
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hearing science, or a related discipline, and a keen interest in developmental research. Prior experience with experimental design, data analysis (preferably in R), eye-tracking, or developmental
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team is essential, as both
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cell and spectroscopic analysers. Programming (e.g., R, Python) and machine learning for advanced atmospheric time-series analyses. Skills for presenting research at conferences and writing peer-reviewed
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identified above may also submit their CV and expression of interest to identify the R&D activities they wish to carry out. Expected research outcomes for students may include: Impacting and reshaping future
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Europe. Through an extensive training program, 10 PhDs will be delivered to the European R&D ecosystem, with expertise in low data ML with domain knowledge in synthetic organic chemistry and drug discovery
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-envbiotechspam prevention@ifg.uni-tuebingen.de . Applications are reviewed until the positions are filled. Contact: Dr. ir. Gerben R. Stouten Environmental Biotechnology, Department of Geosciences, University
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web