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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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This position is inside the SPETRA doctoral training unit which investigates new materials, methods and concepts for converting sunlight into usable energy sources. Inorganic Chalcogenide
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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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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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. The thesis work will be undertaken at the University of Luxembourg but can also be jointly-supervised with another university. The suggested theme of the PhD is Digitalisation in European Business Law
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The position is linked to the Interdisciplinary Research Group in Socio-technical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/ ). Funded by the Luxembourg Minister of Foreign and European Affairs
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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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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the Biological and Soft Systems group of Prof. Eugene Terentjev at University of Cambridge, UK. In addition to carrying out fundamental soft matter physics and chemistry innovation, we will demonstrate