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implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or PennyLane. Experience debugging and profiling distributed-memory parallel applications. Knowledge of Git and modern
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, comprising three major points: the full use of the selective labeling potential of cell-free protein synthesis, in the context of combinatorial labeling approaches for sequential assignments; the introduction
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. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA
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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass
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. Experience implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or PennyLane. Experience debugging and profiling distributed-memory parallel applications. Knowledge
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, STED), image analysis and quantification. Advanced cell culture, transfection, molecular biology, CRISPR-Cas9, cloning, cell labeling. Protein purification, liposome formulation, in vitro reconstitutions
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Researcher in Mammal Paleobiology / Earth System Evolution to join the Department of Archaeology at the Faculty of Humanities, University of Oulu. The position is part of the Deep History of Human Past
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-molecule TIRF microscopy, biochemical reconstitution, and fluorescent labeling, we will watch individual RNA molecules and degradosome complexes at work, capturing millisecond-scale dynamics that shape gene
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++ and CUDA) Code verification and validation of simulations Providing simulation results to project partners and customers Active participation in project, group and lab meetings, knowledge transfer
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highly multidisciplinary environment that spans fundamental discovery through to patient care. Our researchers benefit from outstanding core facilities, including state-of-the-art label-free bioimaging