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will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the
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, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
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be written in English. Use of large language models or related AI tools in any capacity must be disclosed in accordance with best academic practices. Documents should not contain a CPR number (civil
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advantageous: Familiarity with LCA modelling, with consideration of mass and substance balances, data quality assessment, sensitivity and uncertainty assessment applied to membranes or similar products
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to circularity and sustainability in the footwear industry. Through advanced experimental work and modeling, you will help uncover how the composition of shoes will affect the circularity potential, and advice
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emission inventories, atmospheric modelling, environmental chemistry, microbiology, environmental economics, environmental social science, and environmental geography. What we offer Expertise within
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Analytics. The core focus of the PhD project will be to develop and test planning and optimization models to analyze new and innovative Hospital-at-Home systems to improve access to healthcare for elderly and
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into English. The project proposal, project abstract, and CV must be written in English. Use of large language models or related AI tools in any capacity must be disclosed in accordance with best academic
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theoretical models of how art-based methods can support both individual recovery and transformative organizational processes in social psychiatry. In terms of research The proposed PhD project are expected