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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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between models and experiments), Developing empirical force fields Developing scientific software and workflows Experience in programming for HPC environments, including MPI, OpenMP, or CUDA
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at the nanoscale would enable accurate, label-free sensing in complex biomedical samples, thus transforming current approaches. To give a few examples, molecularly resolved nanoscopy would allow us to quantify drug
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manipulation of the host during infection. You will use co-immunoprecipitation to verify predicted protein-protein interactions and establish enzymatic assays and activity-based labelling to demonstrate
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life, and they are essential in the green transition as the main components in wind turbines and electric motors in e.g. electric cars. However, the strongest magnets today contain rare-earth metals
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they are essential in the green transition as the main components in wind turbines and electric motors in e.g. electric cars. However, the strongest magnets today contain rare-earth metals, which
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microbiomes. Within this focus, the research group has a strong program in the synthesis and application of chemical probes in complex biological systems and measurements of probe labeling by LC-MS based
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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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into regulatory mechanisms. The research will leverage a large in-house dataset from iCAN, complemented by publicly available data, to examine transcriptomic dependencies on transcription factor abundance and/or