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both written and oral English. Good skills in mathematics and physics with relevance to ionospheric- and plasma physics are required. Experience in analyzing large datasets using programming tools (e.g
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skills Genuine interest in method development, and comfort with mathematical formalism A degree in physics is required for admission to the Heidelberg Graduate School for Physics (HGSFP). This is a formal
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a fully funded PhD position in mathematics
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mathematics. Mode of Study: Full or Part time Start Date: 1 February 2027 Funding Details This project is offered on a self-funded basis. It is open to applicants who are self-funded or who are in the process
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11 Jul 2026 Job Information Organisation/Company Charles University, Faculty of Mathematics and Physics Research Field Computer science Researcher Profile Recognised Researcher (R2) Application
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Engineering, Environment and Sustainability, Chemistry, Computer Science, Data Science, Applied Mathematics or related fields, legally valid and/or recognized in Portugal and complying with the following
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 26 days ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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date) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience