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). Understanding of or interest in regulatory environments, sustainability, or policy modeling in supply chains. Solid programming or modeling skills in tools such as Python. Strong analytical, writing, and
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-of-the-art econometric methods such as staggered difference-in-differences, regression discontinuity designs, and causal forest–based identification strategies. We ask applicants to briefly sketch in
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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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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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must be performed, with particular attention paid to certain critical areas, such as the warm/cold interfaces and the BCOM beam separation magnet. In this critical area, three beams of different energies
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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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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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University of Strasbourg (UMR7178), is a multidisciplinary laboratory where research teams from different scientific cultures (ecology, physiology and ethology, chemistry and subatomic physics) develop very