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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Henning Friis Poulsen, DTU Physics and Prof
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relevant. Advanced numerical modelling or programming skills are not required. The position is suitable for both recently graduated PhD candidates and applicants with postdoctoral experience. Language
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research experience in wetland biogeochemistry Experience with stable isotope analysis and modeling Proficient quantitative skills with data analysis and programming in R An ability to collaborate within
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
field Knowledge of freshwater ecology and/or physical limnology Experience with numerical modelling Experience with programming languages, esp. Python, and familiarity in NumPy, SciPy and Pandas
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research plan detailing the candidate’s ideas and plans for her/his future research work If you experience technical problems, you must contact hcm-support@sdu.dk . Please note that all the above-mentioned
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., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning
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of Danish or a willingness to learn. A strong independent working style and the ability to plan and execute complex tasks effectively. A passion for knowledge transfer and the ability to document and share
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the development of sustainable bioelectrochemical technologies. The positions are part of the Microbial Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo