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approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
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are looking for a passionate PhD candidate in Thermal Energy Systems with strong programming, optimization, and dynamic analysis of energy systems. This position is on the Horizon Europe-funded project
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programme You can read more about the assessment procedure and committees appointed by the dean here . Applicants are very much encouraged to supply documentation as to how they rank compared to their class
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) Fluigent SA (FR) Thermo Fisher Scientific GMBH (DE) Harvard Medical School (US) The candidates will all be part of a strong Joint PhD training programme, with a focus on career development, application
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Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate
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Assistant Professor Nicolas Ubrig (ubrig@mci.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read
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application of machine learning in chemistry or polymer science. Hands-on experience in laboratory experiments related to environmental science or polymer chemistry. Proven success in working across disciplines