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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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universities. The transition towards electrified and energy-efficient energy systems poses significant challenges in predicting the coupled behaviour of thermofluid, electromagnetic, and rotordynamic processes
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will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates
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process at https://employment.ku.dk/faculty/recruitment-process/ . For more information on working and living in Denmark, please visit http://ism.ku.dk (International Staff Mobility) and https
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the assessment that relates to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ The applicant will be assessed according
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about PhD studies at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be
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process at https://employment.ku.dk/faculty/recruitment-process/ . For more information on working and living in Denmark, please visit http://ism.ku.dk (International Staff Mobility) and https
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theoretical models that explain the results, as well as manuscript preparation and publication. This process will include discussions with musicians, psychologists, and phenomenologists. Your Competencies and