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, and selective forgetting, and translate these into training-recall-forgetting cycles on physical polymer films and bilayer actuators. Contribute to integrating learning materials into soft robotic
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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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to computational methods for imaging. You have: a Master's degree in mathematics, applied mathematics, computational science, mathematical physics, or a closely related field; a strong background in one or more of
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Digital manufacturing, Industry 4.0, or cyber-physical systems o Product design for disassembly, remanufacturing, or recycling o Data analysis, AI, or machine learning applied to engineering systems
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candidate should have a basic training at the Master’s level (similar to the 3 + 2 Bologna process and a total of 180+120 ECTS). However, applicants who hold a one- year Master’s degree may also be considered
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-materials in which materials research and physical testing form the validated foundation, enabling Digital Twins and AI-based decision support for design and process choices. This full-time position offers
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also offer to work in a stimulating, young and multicultural environment, and to be part of a dynamic and growing research team Selection process https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion Se
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rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will contribute to interdisciplinary research spanning process engineering, power
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 1 month ago
12 Aug 2026 Job Information Organisation/Company Max Planck Institute of Colloids and Interfaces Research Field Biological sciences Chemistry Physics Engineering Researcher Profile First Stage