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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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related domain such as mathematics or applied mathematics. You can demonstrate excellent study results. You can demonstrate strong quantitative skills. You can demonstrate experience in coding. You can
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excellent study results. You can demonstrate strong quantitative skills. Interest in or experience with health economics research is an asset. You can demonstrate experience in coding. You can demonstrate
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of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the
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might include flow diagrams, use cases, electronics block diagrams, the high-level layout of component arrangements or source code. Supervisory Team: The candidate will be supervised within
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of FPGA designs, including timing analysis, code coverage and coding rule checks Support FPGA integration on target hardware Create design documentation in compliance with internal and external normative
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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understanding of how the genetic code specifies binding rates and affinities for interacting molecules. Despite the significance of these interactions, quantitatively predicting binding from nucleotide or protein
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System