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to ensure purposeful, legally compliant, explainable and auditable AI behaviour. The research advances three main technical fronts: Embedding explicit norms into the BDI cycle, compiled into enforceable
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fixed networks Education: Contribute in the teaching activities of the University's Cybersecurity Master program and supervise Master students Dissemination: Present your research results at scientific
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cybersecurity automation. Education: Contribute in the teaching activities of the University's Cybersecurity Master program and supervise Master students Dissemination: Present your research results at scientific
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to in vitro modeling and spatial multi-omics to address this complexity, and find ways to reprogram the microenvironment for better responses to new immunotherapies. The lab's primary focus is
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contribute to shape the energy transition in Luxembourg. For further information, please contact Your profile Master's degree in Energy Policy, Energy Economics, Information Systems, Mathematics, Operations
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, Molecular Biology, Biochemistry, Computer Science, or related field required. Master's degree preferred. Minimum Experience: Minimum Requirement: Bachelor's degree and 4+ years of relevant experience
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opportunity to combine fundamental research with direct industrial application. Your main responsibilities will include: Experimental material characterisation - concrete and UHPCDevelopment and optimisation
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. Responsibilities and qualifications Guided by initial AI predictions from the Weinstein group and microbiology results from the Tolker-Nielsen Lab, your main responsibilities will be to design, synthesize and
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to spatial multi-omics to address this complexity, and find ways to reprogram the microenvironment for better responses to new immunotherapies. The lab's primary focus is combining single cell spatial
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to ensure a constant flow of qualified candidates using various tools (e.g., social media, and LinkedIn). Cultivate positive relationships with principal investigators, postdocs, administrative assistants