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The doctoral researcher will be working under the supervision of Professor Thomas Mastrullo. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of business law
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Group, led by Dr. Florian Kaiser. Within our ERC Consolidator Project “Q-Chip”, you will help us to answer a fundamental key question in quantum technology: how can we combine individual demonstrator
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to...
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professors Copies of diplomas, transcripts with grades (English translation is required) Proof of English language proficiency (if available) The motivation letter should identify up to two EICCA research
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The doctoral researcher will be working under the supervision of Professor Picard. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of Quantitative Urban and/or
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on multiscale analysis of brain disorders with a focus on Parkinson’s and Alzheimer’s disease, and epilepsy by combining experimental and computational approaches. For a collaborative project within the Institute
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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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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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 encouraged, as the applications will be processed upon reception. Please apply ONLINE formally...
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photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen