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Field
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several phases, including analyzing the blind spots of language models, identifying challenges specific to the police context, and optimizing existing AI solutions for secure use within law enforcement. Job
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explore promising synergies in landscape services provision and analyse how to optimally align this with the demand for these services across the urban-rural region. In doing so, you will contribute
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energy needs, reducing levelised cost of energy (LCOE) and decarbonisation. Optimal utilisation of sustainable heat requires storing large amounts of heat to account for seasonal supply and demand
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extending the annual operation period is advantageous for meeting energy needs, reducing levelised cost of energy (LCOE) and decarbonisation. Optimal utilisation of sustainable heat requires storing large
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. Performance assessment, Evaluate generated designs using key performance indicators such as energy efficiency, safety, cost, and emissions to identify optimal vessel configurations. Research Environment You
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. Performance assessment, Evaluate generated designs using key performance indicators such as energy efficiency, safety, cost, and emissions to identify optimal vessel configurations. Research Environment You
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in the field of hybrid dynamical systems, observer design, learning techniques, and optimization. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a
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to the timing of events and the results from performance optimization need to be included in the models. This PhD position will address these challenges by developing new timing-aware distributed supervisory
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engineering and biotechnology. A PhD position is available in the Advanced Production Engineering (APE) research group that deals with the development, optimization and implementation of advanced production
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we believe that this would optimize the dynamics in our organization. Therefore, we support and understand the need for a work/life/family balance and consequent varying working hours and places. In