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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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? Are you our future colleague? Apply now! Education A PhD in Computer Science, Artificial Intelligence, or a closely related field is required. A background in legal or regulatory domains is highly desirable
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, medicine), with a primary focus on the four year Midwifery Sciences Bachelor program. The holder will be involved in the selection of students, the establishment of the training plan, preparation and
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft
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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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-level background in Computer Science or related disciplines (or equivalent professional experience) is required.
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Applications should include: Curriculum Vitae including a list of publications or manuscripts in preparation (if applicable) and details of MSc training Cover letter Copies of degree certificates and statement of courses and marks (“relevé de notes”) Early application is highly encouraged, as...
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unique training environment to advance microbiome science through metaproteomics. The program addresses One Health challenges by integrating research on microbial mechanisms, microbiome dynamics in various
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with