173 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions in Luxembourg
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publication record. Experience in formal and computational argumentation is a significant asset. Demonstrated ability to apply AI methods to domains such as law and finance. Experience in developing hybrid AI
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European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include
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machine learning methods to investigate how ecosystem water stress and drought disturbances affect relevant forest ecosystem functioning at various scales. It will enable advanced assessment of forest
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numerical solvers (GLPK, HiGHS, CPLEX, Gurobi) for investment planning and operational analysis. Experience with dynamic or co-simulation environments (e.g., combining electric, thermal, and control modules
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experimental and numerical approaches. Materials classes of interest include components (monomers, polymers, additives, (nano)particles, etc.) utilized in high-performance polymeric materials with relevance in
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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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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols
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strong background in textiles and understanding of textile functionalization methods. You have excellent communication, collaboration, and interpersonal skills and fluency in English (written and spoken
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state-of-the art methods. Extensive experience in Heterogeneous Catalysis research area as evidenced through peer-reviewed journal publications. Applicants are encouraged to add their three best
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and