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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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data to develop predictive models. Experiences within numerical modelling of coastal processes is considered an asset but is not mandatory. You are able to work independently and systematically, and you
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Preparation of results for publishing and presentation at conferences Development of models for health and environmental impact assessment Your profile We are looking for a candidate with: PhD in the area of
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31st August 2025 Languages English English English Vacant Post doc position 2 years PostDoc in ocean biochemical modelling Apply for this job See advertisement About NORCE NORCE is a forward-looking
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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stimulationDURATION: 18 months (potential extension)LOCATION: Université de Montpellier – LMGC, in collaboration with LIRMM, IRMB, and the industrial partner SymétrieSTART DATE: End 2025---POSITION OVERVIEWThe funded
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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neurovascular coupling and its modulation by attention and neuromodulation. The primary responsibilities will include processing, analyzing, and modeling multimodal neuroimaging data, specifically simultaneous