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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
determination and characterization of transformation products formed during PFAS degradation; Experimental investigations of PFAS separation, immobilization, and degradation processes; and Experimental and
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to contact Associate Professor Jakob Tolstrup at tolstrup@ps.au.dk . If you need help uploading your application or have questions about the recruitment process, please contact HR supporter Astrid Valdgård
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Spormann, e-mail: spormann@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and
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www.energy.dtu.dk/english If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be
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on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 20 March 2026 (23:59 Danish time). Applications must be
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no later than 19th April 2026. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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that addresses these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University
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about DTU Wind at www.wind.dtu.dk If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online
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. Responsibilities and qualifications As a postdoc, your primary tasks will be: Design, execute experiments, and interpret the results with the aim of identify key genetic factors and regulatory processes for DNA
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model