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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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primarily address sectors that are particularly important for future viability: aviation, automotive, energy technology, maritime technologies, medical technology and life sciences. To realise this task
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local activation), multi-timescale adaptation (local memory), and stimulus-specific adaptation (multi-task processing). While the co-optimization of dendrite-inspired functional circuits with emerging
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To strengthen our team in the division "Process Simulation” in Berlin-Steglitz, starting as soon as possible, we are looking for a PhD Student(m/f/d) in the field of energy and process engineering
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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, as well as cell culture and bioreactor optimization for the production of cultured meat. Be part of change Design 3D scaffolds/hydrogels for efficient cell attachment and differentiation using modified
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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or bioprinting technologies. Another focus of his work is the design, production and optimization of triboelectric nanogenerators (TENGs), which are to be used to generate energy from mechanical motion. The aim is
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery