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research on the application and the impact of digital technologies on organisations in the private and public sectors. Our team consists of international researchers with backgrounds in computer science
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conducts research on the application and the impact of digital technologies on organisations in the private and public sectors. Our team consists of international researchers with backgrounds in
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(DNA-Seq, (sc)RNA-Seq, ChIP-Seq) and/or R programming skills will be a plus. • Skills: Curiosity, rigor, perseverance, creativity, excellent time management and sense of priority, willingness to learn
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Applications, written in English, should include: A detailed CV A list of publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2
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The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of the Microbiome (https
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Applications should include: Curriculum Vitae with the list of publications Cover letter Copies of previous degrees Names and contact details of two academic referees Early application is highly
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Applications should include: Curriculum Vitae with at least 2 references (contact details only) Cover letter Early application is highly encouraged, as the applications will be processed upon
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, Reasoning and Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subject of the thesis will be “Exploring Large
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research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry. The PhD candidate will engage in
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science and Computer Engineering with