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Applied analysis Mathematics for AI Course organisation The BMS programme is divided into two phases. Phase I: Students are registered as a Master's student at one of the three universities and have a Phase
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. Formalizing heritage reconstruction reasoning, including comparative analysis, chains of evidence, and source hierarchies, as computational models. 2. Developing controlled generative models capable
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record. Mathematical skills in linear algebra, calculus, and statistics for algorithm development and data analysis Evidence of research output including high quality publications, conference contributions
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Campus, in the middle of the largest chemical site of the Netherlands. As such, we are very well connected to industry. More information you can find on https://www.maastrichtuniversity.nl/research
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solution for the future of maritime decarbonisation. Your work tasks The research assistant will be involved in high-fidelity numerical modelling and a comprehensive analysis campaign of flexible power
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. The following typical research topics serve as interdisciplinary links between the various fields of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception
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on https://www.maastrichtuniversity.nl/research/circular-chemical-engineering/research/circular-plastics Our group is looking for a PhD researcher to carry out research and development in the RePlaCE
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requirements, the applicant must have credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree Project (thesis). proficiency in English equivalent
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)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills (see below) are also encouraged to apply. Proficient in at least one
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills