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, and goal-oriented working style with a strong commitment to solving complex technical challenges Practical experience with fiber optics, vacuum technology, cryogenics, finite-element simulations (FEM
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Faculty of Medicine of the University of Cologne | German Cancer Research Center (DKFZ) | Gronau Westfalen, Nordrhein Westfalen | Germany | 3 months ago
appointment according to the “Jülicher Modell”). The chair will be newly established at the NCT West, Campus Cologne (https://nct.dkfz.de/standorte/nct-west.html ). The NCT is a long-term collaboration between
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells
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energy conversion. We use element-specific methods such as X-ray absorption spectroscopy at synchrotron radiation sources and free-electron lasers. A wide variety of magnetic material systems are studied
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and metabolic interactions with mammalian cells. Possible project elements include: Microfluidic synthesis of polymer capsules and microgels Encapsulation of enzymatic reaction networks, metabolic
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Wide-bandgap metal-halide perovskites are key absorbers for next-generation multijunction photovoltaics. Their practical use, however, is still limited by compositional instability, phase
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with us! https://www.hhi.fraunhofer.de/qkd.html Be part of change Characterization of photonic integrated circuits and components for quantum communiaction Planning, preparation, execution, and
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structures, and concurrency/multithreading Familiarity with state-machine design patterns and distributed consensus mechanisms. Proven background in control systems, real-time programming, process automation
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will be able to define which signatures (such as trace elements in an atmosphere) can be explained by abiotic processes, and which would indeed need some form of extraterrestrial life, leading to a new
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modeling, and scientific machine learning to enable efficient simulations of complex molecular processes across realistic time and length scales. https://doi.org/10.48550/arXiv.2604.24245 https://doi.org