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, Austria [map ] Subject Area: Optimization and Optimal Control Appl Deadline: (posted 2025/04/17, listed until 2025/07/01) Position Description: Apply Position Description As a central non-university
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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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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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microstructural engineering will focus on in-situ optimization of the local distribution of grain sizes, crystallographic orientations, and stresses by the novel possibility of varying the laser beam shape and spot
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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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for the fundamental understanding and engineering design of safe autonomy for autonomous vehicles. The post-doctoral researcher should have a strong background in autonomous vehicles, optimal control, differential
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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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microstructural engineering will focus on in-situ optimization of the local distribution of grain sizes, crystallographic orientations, and stresses by the novel possibility of varying the laser beam shape and spot
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data