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Field
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to (i) develop and adapt state-of-the-art methods from data science and (ii) apply the acquired knowledge to the research domains of the respective Helmholtz centers. The research will be accompanied by
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, earth observation, and robotics. Consequently, a MUDS student will learn to (i) develop and adapt state-of-the-art methods from data science and (ii) apply the acquired knowledge to the research domains
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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28 Aug 2025 Job Information Organisation/Company Technische Universität München Department TUM Campus Straubing for Biotechnology and Sustainability Research Field Chemistry » Biochemistry
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Chemistry, Physics, or Materials Science Strong interest in interdisciplinary, experimental research Prior knowledge in heterogeneous catalysis, CO₂ activation, solid-state chemistry/physics, and/or in situ
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 19 hours ago
knowledge of semiconductor technology and the physics of solar cells Hands-on experience in processing thin films and solar cells in the topic of perovskite technology Excellent analytical skills Excellent
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 5 days ago
motivation for the cooperation with colleagues have a very good knowledge of English Knowledge and experience in chemical engineering laboratory work as well as model-based simulations are advantageous. Our
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Your Job: Join an interdisciplinary team that brings state-of-the-art AI research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We