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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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movement control in healthy individuals and patients with psychotic disorders” – ideally with you on board! The applicant will contribute to the development, evaluation and application of new EEG and MEG
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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, simulate and set-up cryogenically cooled solid-state regenerative and multi-pass Yb:YLF laser amplifiers Implement intelligent control over spectral and temporal shapes of broadband nanosecond laser pulses
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exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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assess the process maturity of new, still immature production processes along their process development and optimization. The concepts of "observability" and "controllability" known from systems theory
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analysis, simulation, chemometrics, control engineering, artificial intelligence, soft sensors, and process sensors. We are always looking for new technologies and new methods to monitor and optimize
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to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
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: Optimizing breakpoint handling, instruction tracing, and execution control within emulation environments to minimize performance impact, particularly for multi-threaded and hetero-geneous workloads. • Cross