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Profile Motivated student in Chemistry, Chemical Engineering, or Materials Science, currently enrolled in an advanced Bachelor’s or Master’s program Advanced knowledge in organic chemistry and/or polymer
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for evaluating long-term transformation paths Your Profile Excellent master`s degree in engineering, materials science, industrial engineering, energy systems, or a comparable field of study Strong interest in
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them or augment their behavior in a controlled way. Specifically, your tasks will be: Running numerical simulations of active systems Using physics-informed machine learning techniques to characterize
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. This includes presenting the results of your work at conferences and publishing them in specialist magazines and journals. As a research engineer, you will also develop new ideas independently and acquire
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
, international relations, energy engineering, climate science or a related field. Good understanding of international climate and energy policy processes and the associated climate and energy transition science
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and Manufacturing Processes (IMD-2), we work in a dynamic and international team of over one hundred materials scientists, chemists, physicists, mechanical engineers and technical staff
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Laboratory Your Profile Ph.D. in Physics (preferred), Optics, Photonics, Applied Physics, Engineering Physics, or a closely related discipline Strong background in X-ray optics, synchrotron instrumentation
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | about 2 months ago
science Environmental science » Earth science Technology » Water technology Researcher Profile Recognised Researcher (R2) Application Deadline 9 Aug 2026 - 21:59 (UTC) Country Germany Type of Contract
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the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective Recognition of Pathogen Targets” (EngToTarget), offering a unique opportunity to contribute to emerging approaches
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, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective