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organic analysis as a primary means of detecting life. To optimize the science yield of such missions, it is critical to understand processes that govern maturation of organic matter prior to sampling and
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(training provided). Design and optimize protocols for new biophysical assays to address complex cancer biology questions.– Example project: Science, 2023 Writing and submitting NIH training grants, including
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assessments, develop high throughput behavioral and neural-behavioral screens including optimizing optomotor assays, sperm motility assays, gonad assay, fecundity assays, kidney function assay, organ
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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, including synthesis of fuel materials and recycling of used MSR salts. The selected candidate will develop and optimize process chemistries to synthesize chloride and fluoride species, recover metals and
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. Working closely with partners in the IMPRESS project, you will analyse their materials and provide valuable insights to help optimize device performance. Additionally, you will support collaborators by
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one or more of the following will be given priority: Cryo‑EM grid optimization, data collection (Krios/Glacios), and reconstruction workflows Structural analysis of dynamic/heterogeneous complexes
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biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles; Building and optimizing pipelines for pre-processing and
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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computational researchers across work packages and contribute to the interdisciplinary activities of the convergence environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs