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experiments; collecting data on crop growth, botanical composition, yield, forage quality and related plant and environmental variables; processing and statistically analysing experimental data; contributing
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every process that involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community
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biological processes in Alzheimer’s disease and other neurodegenerative diseases. We analyze large datasets collected from patients and cognitively unimpaired volunteers, who undergo extensive testing with
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computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. Work duties Forests differ substantially in their species composition
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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, linked to industrial production, fluid flow optimisation and design of energy technology applications and magneto hydrodynamics. Project description Efficient operation of hydraulic turbines is critical
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: massive stars or accreting black holes?” (program ID 8290), featuring integral field spectroscopy with NIRSPEC and MIRI, and imaging with NIRCam and MIRI of the blue compact galaxy Haro11. Main
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a vast experience of battery operation and materials. Excellent communication and writing skills, thorough command of the English language. LanguagesENGLISHLevelExcellent Additional Information
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activities mainly concern our common Swedish domesticated animal species, with a focus on anesthesiology, diagnostic imaging, animal nursing, epidemiology, laboratory animal medicine, surgery, clinical