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improved care for people affected by prostate cancer (PCa) or kidney cancer (KC). This position will focus on modeling AI trustworthiness and explainability in medical data and models (mainly imaging data
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novel, disruptive dialyser design. Directly supervised by Professor Pierre Ricco, you will be responsible for the theoretical analysis and numerical simulations of blood and dialysate flows and toxin
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, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
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atmospheric models WRF-Chem and/or CHIMERE, developing new descriptions of primary ice formation from sources such as aviation, wildfire emissions, and mineral dust. High-resolution simulations of selected case
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of celestial sources observable with XRISM, simulations of potential XRISM observations, relevant laboratory astrophysics, development of spectral models or atomic codes, or exploring synergies between XRISM and
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. This technology is being developed principally for space applications, but we are also using this to support a vigorous program in laboratory astrophysics using an electron beam ion trap to simulate astrophysical
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, scientific and varied tools and methodologies, to model these relations and offer simulations, best practices recommendations, and proposals for public policies linked to our scientific findings, in order to
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tools and methodologies, to model these relations and offer simulations, best practices recommendations, and proposals for public policies linked to our scientific findings, in order to best adjust
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machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
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statistical modeling, data visualization, and effective communication. The Research Analyst II partners with campus stakeholders to define analytical needs, ensures data integrity through validation and