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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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effective climate 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
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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