27 phd-mathematical-modelling-population-modelling Postdoctoral positions in Luxembourg
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. The open position is part of the NAXDivo Core project, funded by the Fonds National de la Recherche (FNR), which aims at generating and analyzing whole organism models (zebrafish and mouse) to dissect
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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., conferences, workshops, white papers). Is Your profile described below? Are you our future colleague? Apply now! Required Qualifications PhD degree in System Engineering, Software Engineering, Model-Driven
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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
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Applications should include: Curriculum Vitae, including a description of the mathematical background of the candidate Cover letter Copies of relevant certificates Names, positions and addresses
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Applications should include: Curriculum Vitae Cover letter Names of at least 2 reference letter writers Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 30/06/2025 ONLINE formally through the HR...
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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
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surface properties on their energy balance and gas exchange. Experiments will be accompanied by mathematical modelling of the physical processes involved. How will you contribute? In accordance with any
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part