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statistical and machine learning techniques, including Bayesian inference and stochastic modelling, the project will quantify and analyse uncertainties in the design and operational performance
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accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree (MSc) or equivalent in hydrogeology, environmental
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Job Description A fully funded 3-year PhD position is available at DTU Aqua, within the newly established project NOW-LUMP, funded by seabreak (https://www.aqua.dtu.dk/nyheder/stenbiderprojektet?id
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Society at the Department of Food Science, Aarhus University (http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The position will be affiliated to science-based advice
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
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work (planning, organising and carrying out, for example, sediment sampling, laboratory studies and pilot trials). Qualifications We seek a candidate with an MSc degree or equivalent or fully completed
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background and interest in soil microbial ecology, ecosystem ecology and biogeochemistry. You will be part of the Microbial Biogeochemistry in Lund (MBLU) research environment (https://portal.research.lu.se/en
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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candidate should have a background in data analysis, data management, GIS, map making, web development, statistical analysis, in an academic setting or similar. They should have strong communication skills
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undergraduate major and elective courses in our Health Sciences curriculum (https://www.healthsci.jmu.edu/). • Demonstrate a commitment to excellence in teaching and scholarship • Participate in service