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microbes chemically/physiologically. Computational work could include genomic analyses, machine learning, and simple mathematical modeling approaches. Responsibilities Responsibilities include the following
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 18460 Is the Job related to staff position within a Research Infrastructure? No Offer
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Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 18284 Is the Job related to staff position within a Research Infrastructure? No Offer
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between project workstreams—agronomy, modelling and economics. The successful candidate will undertake both desktop and field activities. Key activities include: Data management, processing, analysis and
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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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approach that links detailed process measurements with integrated hydrometeorological and physical lake models. The successful candidate will enroll in a graduate program (MSc or PhD) in Natural Resources
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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. Responsibilities span from high-performance computational modeling and data-driven risk assessments to the publication of scientific findings and the mentoring of graduate students, contributing to both
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Description The Leibniz Graduate School on Aging (LGSA) is a joint program of the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) and the Friedrich Schiller University (FSU) in Jena