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computational and data science capabilities in life science in Sweden. Through this program, you will also have access to extensive computational training and resources, including high-performance computing (HPC
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computational and data science capabilities in life science in Sweden. Through this program, you will also have access to extensive computational training and resources, including high-performance computing (HPC
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synthesize scientific literature Experience with HPC, and clinical/patient data Worked with machine-learning methods and omics data integration Knowledge of bioinformatics pipelines (e.g., Nextflow, Snakemake
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learning packages (e.g. PyTorch, Keras) Experience with HPC and scientific workflow management tools (e.g. Nextflow, Snakemake) Experience with single-cell data analysis (e.g scanpy, scvi), and/or spatial
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research project that optimizes future high-performance computing (HPC) for enhanced scalability and resource efficiency. This position offers the opportunity to conduct cutting-edge research
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education in theory and practice of generative modeling, have research experience or education in life science data and have prior experience with remote GPU and HPC services. After the qualification
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driven individuals to lead the charge. This is your chance to develop your HPC leadership skills, including supervision, teaching, and cutting-edge engineering, while contributing to a project that will
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efforts to secure funding and HPC time on national and European infrastructure, to co-supervise junior researchers in related projects and to teach classes in modeling and biophysics. What we offer A
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era of High Performance Computing (HPC). The developments are built upon FEniCSx linking with DTCC platform Information about the division and the department Geotechnics research in Department