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international research sites Your Profile: Completed master’s degree in mechanical engineering, material science, physics or a related field Experience in modelling and simulation (e.g. Python) Willingness and
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publications at internationally renowned venues in machine learning. Solid mathematical background, distinct analytical and numerical skills. Solid programming skills (e.g. Python, C++) Excellent ability
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European Organisation for Astronomical Research in the Southern Hemisphere | Garching an der Alz, Bayern | Germany | 28 days ago
). This instrumental project is directly aligned with the ongoing upgrade of the VLTI infrastructure, including the recent commissioning of GRAVITY+ (https://www.eso.org/public/news/eso2519/ ). The project addresses
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764 Postdoctoral Research Opportunity in Bioinformatics (m/f/d) RNA modification and 5′ Cap Analysis
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Solid programming skills in Python Command of the mathematical foundations of machine learning (linear algebra, calculus) English at level B2 or higher (the working language is English) Desired
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scientific experiments as well as processing and analyzing data (Python, Origin) Good communication in English; knowledge of German advantageous (but not compulsory) Our Offer: We work on the very latest
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling