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terms of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for
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structure for academic staff at Danish universities and the provisions for PhD fellows as described therein as well as the Protocol on PhD fellows signed by the Danish Ministry of Finance and the Danish
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Associations for academics in the state including the associated circular on the job structure for academic staff at Danish universities and the provisions for PhD fellows as described therein as
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quantitative methods (e.g., regression, multilevel modeling, structural equation modeling) is an advantage. Interest and/or experience with experimental, big data, and/or mixed methods research designs. Strong
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is therefore of both theoretical and practical importance. Your work tasks This PhD project aims to develop structure-aware inference methods for modeling quantum transducers as open quantum systems
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complementary aspects of how electric fields and electrode-associated niches influence the structure, function, and stability of methanogenic microbial communities in bioelectrochemical reactors. Together
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acceleration. Strong programming (C/C++/Python), data structures and software development skills. Track record of research excellence through publications or public repositories Good communications skills
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with international collaboration and the ability to work effectively in interdisciplinary teams. A structured and analytical approach to work and problem-solving. Experience with research dissemination
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interdisciplinary teams. A structured and analytical approach to work and problem-solving. Experience with research dissemination – e.g. scientific publications and/or conference contributions. Other professional and
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interdisciplinary teams. A structured and analytical approach to work and problem-solving Experience with research dissemination - publications or conference presentations - is an advantage, as well as other