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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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test different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill
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meaningful innovation, champion ethical AI, and make a tangible difference to health and biomedical research. Main duties and responsibilities You will design and validate AI models across diverse domains
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collected as part of current CIHR funded project “Sex differences in brain aging in adults with and without risk factors for Alzheimer’s Disease” which focuses on midlife, and examines the effect of menopause
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the electromagnetic spectrum and studying problems at different scales, from molecular processes in clouds to global environmental change. Our research environment is unique in Sweden, combining expertise in
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You will focus on: Studying the slug stability of organic solvent slugs (e.g. acetone, acetonitrile, chloroform) in different push solvents for detection of apolar metabolites with segmented flow NMR
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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an experimental technique. Experience with lab planning and maintenance. Experience with data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with Labview or Python. All
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manage data analysis pipelines Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines Carry any other duties as required by PI and co-PI(s) Job
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will be given also from members of the Earth Surface Science research group that work mainly in the physical geography domain, focusing on investigating causes, mechanisms and impacts of different