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quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
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optimization. Together with a dedicated partner from bioinformatics you will first survey pairs of drug discovery application problems and corresponding quantum algorithms, before you focus on promising
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deploy integrated methodologies at the cross-section of battery and quantum technologies. Quantum computing bears tremendous potential in the simulation of interactions and reactive processes in materials
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The group ofSebastian Stich works on the design and analysis of optimization methods
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biological, biochemical as well as -omics and bioinformatics techniques Optimize and apply ribosome profiling and single-cell ribosome profiling on organoids and clinical samples Characterize the impact of gut
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
Germany Application Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 23 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning
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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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Your Job: Operando X-ray investigations of energy materials, with a focus on chemical hydrogen storage Design, development, and optimization of advanced sample environments and reactors for high
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis