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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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All documents should be uploaded in pdf format. Incomplete applications will not be considered. Applications should include: Curriculum vitae Motivation letter outlining the reasons for your application to a PhD and your educational training that prepared you for academic research on the topic...
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Trade Economics. The thesis work will be undertaken at the University of Luxembourg. The suggested theme of the PhD is Quantitative Urban and/or Trade Economics. The candidate is, however, welcome to
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Applications should include: Cover letter explaining your motivation for applying and any relevant research and language skills and prior experience Curriculum Vitae Degree certificates and transcripts A 3-page research proposal that presents your research project for the PhD: your research...
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anonymization Conduct interviews with the involved stakeholders Disseminate results through scientific publications in outlets on the intersection between information systems, computer science, and energy markets
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at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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The Mathematics department at the University of Luxembourg currently has openings for up to 4 PhD positions in the following areas: - Algebraic geometry, - Geometry, - Mathematical aspects of computer science
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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE
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will be employed at Doctoral level (PhD) at the Department of Computer Science of the University of Luxembourg (UL). She/he will be supervised by Prof. Dr. Christoph Schommer and is expected to conduct