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overall assessment of the candidates. Furthermore, each candidate must be assessed according to the specific requirements stated in the job advertisement. Please read more at https://jobportal.ku.dk
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working with large collaborative code projects Proficiency in applying AI-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous
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project, should contact Principal Investigator prof. Mikkel Bille, mbille@hum.ku.dk , phone +45 35329480 Link to the department’s website: https://saxoinstitute.ku.dk Introduction PhD studies consist
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of Health & Medical Sciences at the University of Copenhagen, commencing as soon as possible. Information on the department can be found at: https://bmi.ku.dk/english/about_department/ Information
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, please contact the principal supervisor Anne Sofie Hammer. General information about PhD study at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https
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for veterinary antimicrobial stewardship and infection prevention. Information on the department and the section can be found at: https://ivh.ku.dk/ . Our research The Assistant Professor will be part of the OHAR
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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 recruitment process at https://employment.ku.dk
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about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . The further process After deadline, a number of applicants will be selected for academic assessment by an unbiased
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here: https://employment.ku.dk/faculty/criteria-for-recognising-merit . Furthermore, we are looking for a highly motivated and enthusiastic scientist with the following skills and experience: Essential
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assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database . Please note that we might ask you to obtain an assessment of your education performed by