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optimization for antibiotics and research in general The applicant must be motivated for science in general and this position in particular, responsible, and also have a great work capacity Personal skills
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electricity markets designed to optimize cross-border power exchanges by explicitly incorporating physical transmission constraints into the market-clearing process. Unlike traditional market coupling
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specific gene or disease. Work tasks The work tasks concentrate on optimizing and scaling up protocols for efficient mutation correction in human T cells and hematopoietic stem cells, and transplanting cells
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PhD Research Fellow in “Optimizing hydroelectric operations using predictive maintenance under data uncertainty” from August 18, 2025. This position is associated with the FME RenewHydro center
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state-of-the-art data storage and research infrastructure, hosted at the Services for sensitive data . The PhD fellow will work with large scale analytical tools to optimize our ability to use genetics
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. The DT serves as a virtual representation of physical assets, operational tasks, and resources, facilitating real-time monitoring, proactive maintenance, and optimization of offshore operations. Key
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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of this sustainability-oriented project is to develop a better understanding of the fundamental fluid mechanics involved as droplets flow on and through fog nets, aiming to create new designs that optimize water yield
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disorders (e.g., Cushing’s disease, metabolic syndrome, cardiovascular disease, sleep and shift work disorders). Beyond clinical applications, the research may contribute to optimizing athletic performance
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strong emphasis on energy modeling and data analysis Applicants must have experience with one of more subjects: Simulation in Python, MATLAB/Simulink Numerical optimization Data optimization and analysis