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vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
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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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networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
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analyzing how cross-talk effects may degrade both the quantum processor and the GPU performance. The goal is to create a correlation matrix to map these interactions and optimize gate execution
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FPGA, as well as a GPU accelerated compute nodes. The postdoc project Hematological malignancies remain a significant cause of morbidity and mortality worldwide. A major pathological feature of
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or her work collaborate with others, have a professional approach and analyse and work with complex issues. demonstrate prior experience with parallel computing, such as MPI and GPUs, and be familiar with
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the most recent computational technology, including the Dragen FPGA, as well as a GPU accelerated compute nodes. The postdoc project Hematological malignancies remain a significant cause of morbidity and
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components. These are studied using magnetic, electrical, and optical methods, and are modeled with the help of GPU-accelerated micromagnetic simulations. The group has received funding from the Knut & Alice