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Your Job: The electrocatalytic interface engineering department, led by Prof. Dr.-Ing. Simon Thiele focuses on the manufacturing, analysis, and simulation of functional materials to find an optimal
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization
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, portable polymer-based sensor patches. The focus is on the research and realization of functional materials and structures for integrated sensor systems. The tasks include the development and
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support and mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz
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the shift from the robust architecture of radio-TV transmitters and receivers to the far more complex and fragile structure of ‘over-the-top’ (IP-based) media delivery. The project will model optimal
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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perform functional readouts such as calcium imaging and electrophysiology. Where to apply Website https://www.academictransfer.com/en/jobs/356705/phd-researcher-development-of-h… Requirements Specific
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of osteoarthritis). This project aims the following main objectives: Define patient-specific key functional and mechanical requirements for large osteochondral scaffolds. Produce biocompatible porous 3D structures
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. Comprehensive physicochemical characterization to elucidate structure–property relationships. Structured catalysts fabricated by washcoating on commercial supports, optimized for stability and catalytic