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the development of both, the quantum internet and distributed quantum computing. The objectives of this PhD thesis project are: (a) Demonstrate spin-photon entanglement with single colour centres in silicon carbide
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Associate Scientist or Lead Researcher - (Protein Engineering and Design, Genome Editing, Biotechnol
, and fun group of scientists at St. Jude Children's Research Hospital. Our research program centers on dethe development of state-of-the-art genomic methods for understanding the global activities
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2025, or as soon as possible thereafter. The project explores two parallel technological routes for converting captured carbon dioxide into microbial biomass: One fully biological, and the other a hybrid
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-Based Generative Models: How can we fundamentally redesign generation processes for superior efficiency, controllability, and quality? We are exploring diffusion models, flow-matching, and other parallel
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Research Scientist Applications are invited for a Research Scientist to join the Laboratory of Dr Evelien Adriaenssens in the Microbes and Food Safety programme at Quadram Institute Bioscience (QIB
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opportunity to develop and lead their own independent research project, recruit PhD students through the IMPRS PhD program, and build a team by hiring postdoctoral researchers. In parallel, they will oversee
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. This position uses resources made available by the Flemish Government through the Special Research Fund (BOFZAP). Applications will be evaluated in parallel and independently by 1) the KU Leuven Research Council
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. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA