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At the Sulzbach-Rosenberg site, Fraunhofer UMSICHT develops plants, processes and manufacturing methods for the carbonization of biomass and biogenic waste and residual materials. The working group
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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Your Job: The accelerated development of advanced materials is essential for addressing major challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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Infrastructure? No Offer Description Work group: IBI-3 - Bioelektronik Area of research: Promotion Job description: Your Job: The PhD candidate will be in charge of: The development of photopolymerizable hydrogel
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Your Job: The PhD candidate will be in charge of: The development of photopolymerizable hydrogel blends with n-type and p-type semiconductor capabilities The pattering of the semiconducting hydrogel
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offers access to state-of-the-art infrastructure and a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international
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] method within the MiMiC multiscale simulation framework Develop and integrate a communication interface between quantum computers (via Qiskit) and classical HPC resources Validate the QCS-MiMiC
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to co-design algorithms and circuits to develop efficient neuromorphic hardware, tailored to target tasks. In detail, you will: develop circuit-plausible training/inference algorithms and analyze in