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to the table Student in the field of Computer Science, Electrical Engineering, Physics, Mathematics or another related degree program with a scientific or engineering focus Knowledge of Python/Jax/C++ Knowledge
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is looking to employ a Research Software Engineer for Ontologies and Knowledge Graphs (m/f
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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of the software documentation and tutorials, including usage guides on high-performance computing hardware and content for the presentation of the software on the web and on social media Representing the technology
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications
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University degree in data science, computer science, information science, computational ecology, statistics, or equivalent Competence in Python, R or other relevant programming languages (knowledge of LabView
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Job posting CHE 06/2025 The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has an open permanent vacancy Engineer Chemistry/ Environmental Chemistry (f/m/d) with a percentage of 100% (40
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The Hertie School, the University of Governance in Berlin and the Kiel Institute for the World Economy (IfW Kiel) are recruiting a Professor of International Economics (GN) The Hertie School and the
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from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 2 hours ago
computational demography is a growing interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences