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in the process of completing one. Experience with qualitative methods and an interest in health behaviour, risk communication, or clinical psychology is essential. Some clinical experience is an
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at the Faculty of Social Sciences. This requires submission and acceptance of an application for the specific project to the PhD School. Please note that this process will be initiated by the PhD School only after
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avoiding physical obstacles, these robots must understand the social physics of human interaction, such as recognizing that standing too close to a person or interrupting a conversation is inappropriate
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research group, who are working on related projects. Your competencies A master's degree in chemistry or chemical engineering, materials, physics, or a closely related field. Experience with glass science
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, among others, experts with backgrounds in physics, chemistry, materials, and computer science. The section comprises four PIs and approximately 25 PhD students and postdocs. Qualifications: • Good
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persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting
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process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means that after the application deadline, the head of the department
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
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/feasibility studies at the Danish Epilepsy Centre (Filadelfia) and using ML and AL to process the data. Designing and implementing a low-power impedance integrated circuit, suitable for wearable in-ear devices
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are more than welcome to contact us. You will find contact person at the bottom of the jobpost. Applicants can expect interviews in September. Further information Read more about our recruitment process