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assisting future CCS power plant design optimisation. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is
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Job description ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most...
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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of big data might not be possible to be captured by traditional modelling approaches. This implies that mathematical modelling of such data is infeasible. The data-driven modelling approach could resolve
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benefits. The initial appointment is for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | about 22 hours ago
sciences with expertise in molecular plant genetics, plant biochemistry, cell biology, bioinformatics, and mathematical modelling of biological processes. Details can be found at: http://www.mpipz.mpg.de
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12.10.2021, Wissenschaftliches Personal For our team, we are looking for a full-time PhD candidate on the topic of “Automatic Recognition of building attributes”. For our team, we are looking for a full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About...
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Masters, or Honours, degree in Bioscience Engineering, Biology, Ecology, Forestry or equivalent degree in Life or Mathematical Sciences with background in Ecology. Also candidates that will obtain
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systems with solid coding skills Mathematical background for modeling and analytics Openness for collaboration within our research group, inside the project, and beyond Curiosity and creativity