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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 5 days ago
Job Code: 16/2025 Job Offer from July 24, 2025 The Max Planck Institute for Extraterrestrial Physics (MPE) in Garching is a world leader in the field of ground-based and space-based experimental
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aerospace and the technologies used to decarbonise flight The following skills are desirable but not essential: Ability to code program in Matlab Experience using CFD codes. Experience with heat transfer
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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at compile-time, as is often the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated
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, all these theories often assume a uniform protective mechanism, without fully considering the specific adaptations of EOM myofibers. Intriguingly, EOMs contain both singly and multiply innervated fibres
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
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performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate