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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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, French, Italian, Spanish or Latin. Other languages are also possible (upon individual request). Full-time / part-time full-time Programme duration 6 semesters Beginning Summer semester Additional
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in the field of energy storage Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork
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candidates and postdocs: https://www.uni-jena.de/en/career-counselling . Support for international students and doctoral candidates Tutors Buddy programme Specialist counselling Cultural and linguistic
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Master`s program in the field of process engineering, chemical engineering, energy engineering, environmental engineering, or a related field Good knowledge of thermodynamics, process engineering, and
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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English is a prerequisite, ideally a corresponding certificate as proof of your English skills should be provided if you did not obtain your university degree in an study programme taught in English: https
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The Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover | Hannover, Niedersachsen | Germany | 19 days ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We strive for universality, diversity and
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of the influence of the electrolyte on the overall cell performance under varying conditions Documenting and visualizing the achieved results in presentations Your Profile: You are enrolled in a master`s programme
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate