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Field
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matrices for the encapsulation of biologically active substances; developing methods for incorporating antibiotics, adjuvants and other compounds that support antimicrobial activity; synthesising polymeric
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-based information systems using both quantitative and qualitative approaches. Investigating and applying AI as a research method in IS e.g., computationally intensive theory construction Prepare research
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the contest holding qualifications obtained abroad must prove the recognition, equivalence, or registration of the doctorate degree, under the applicable legislation. This formality must be fulfilled up
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logical way and parametric simulation engines. Familiarity of machine learning / AI techniques and custom LLMs generation is beneficial. Knowledge of life cycle assessment (LCA) and LCA methods, carbon
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within a Research Infrastructure? No Offer Description conducting a research task focused on the integration of qualitative methods (impact narratives) and quantitative methods (indicators) in
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must prove the recognition, equivalence, or registration of the doctorate degree, under the applicable legislation. This formality must be fulfilled up to the date of signing the contract. 2
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requirements for the Ph.D. but whose degree has not yet been formally conferred may be eligible to begin employment provided they submit an official letter from the Registrar or Graduate School of the degree
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial
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at the University of Luxembourg brings together researchers from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close