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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled. We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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Multivariate Modelling for CO2 Capture Apply for this job See advertisement About the position TThe Faculty of Technology, Natural Sciences and Maritime Sciences has a vacancy for a temporary 100 % position as
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policies as Norwegian and European carbon sinks dynamically evolve under climate change. The postdoc will work on improving and applying the land surface model CLM (Community Land Model) that is used in
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Stig Brøndbo 4th August 2025 Languages English Norsk Bokmål English English Faculty of Engineering Science and Technology PhD Fellow in signal processing and modelling in the seafood industry Apply
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modelling and analyses as agreed with Scottish Government, the formulation and submission of research publications and research proposals, as well as help manage and direct this complex and challenging
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of epidemiological modelling and analyses as agreed with Scottish Government, the formulation and submission of research publications and research proposals, as well as help manage and direct this complex and
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The programme is...
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medicine. What can be funded? Research visits for postdoc Chinese scientists and researchers. Duration of the funding 3-12 months Value Monthly scholarship rate of 2.100 EUR Combined health-, accident and
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Tulane University Office of Human Resources Description for Job: IRC32798 TUII Postdoc Fellow Tualne University Innovation Institute Location: New Orleans, LA Summary The Tulane University
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Do you want to further your career by applying your quantitative data analysis and modelling skills as part of an international multidisciplinary project on developing early warning systems