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that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and
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on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models
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genetic data (e.g. from genotyping). You will implement and evaluate selection methods: Test and optimize new methods for precision breeding in practical or simulated improvement programs. You will work
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
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information is lost through this depreciated sampling frequency remains unknown. DETERMINER aims to determine the optimal sampling frequency for detecting externally driven phytoplanktonic change while also
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unwanted effects from so-called concomitant gradient fields. You will also develop software to facilitate experimental design. This includes numerical optimization of the instructions that control the MRI
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-driven development and optimization of the loading and transport systems in underground mines, including adaptation of systems to different loading conditions as well as bucket scanning, bucket filling
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driven analysis of electron density to reduce the computational costs of multiconfigurational calculations. Design and implement optimization procedure for model potentials and atomic basis sets
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the problem is explicitly considered. In particular, it will investigate how to tightly integrate state-of-the-art sampling-based methods with state-of-the-art methods from numerical optimal control in a