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. Good oral and written presentation skills in English. You need strong skills in mathematics, probabilities, optimization and programming. PLEASE NOTE: For detailed information about what the application
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mathematics, probabilities, optimization and programming. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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-time operation. The project will focus on how AI and mathematical optimization can be combined to support sequential bidding decisions under uncertainty. The initial use case will consider a wind power
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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an advantage: Good knowledge of mathematical optimization (e.g., mixed-integer linear programming, stochastic programming, meta-heuristics) Knowledge of machine learning and/or AI methods Experience with
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial
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, machine learning, computer science, mathematics, physics, engineering, cybernetics, economics, data science, or a related field. Foreign degrees must correspond with the admission criteria for the PhD
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transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management