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of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer’s disease or Parkinson’s disease. The candidate will use state-of-the-art in silico protein structure prediction
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momentary assessment) and the combination of self-report and sensor-measured data. There will also be the opportunity to contribute to longitudinal survey studies and analyze existing datasets. The person is
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Applications should include: Curriculum Vitae Cover letter Contact information of two or three referees Research statement and topics of particular interest to the candidate (max 1 page) Early
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The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team focuses on critical information
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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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from all university-level courses taken Contact information for 2-3 referees Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration
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for our employees and students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Planned start date: October/November 2025 Location: Campus Belval
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comfort through IoT-enabled systems Integrating data-driven techniques with sustainable building standards for a holistic evaluation of building sustainability Participate in relevant technical committees
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: oDeveloping the conceptual framework linking accessibility biographies and mobility cultures attachment ;oApplication of novel methodologies dealing with big data (e.g. GPS and other sensors) for assessing
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities