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Field
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requirements. Across both projects, the goal is to combine advanced power-electronic control with edge computation and ML so converters and drives can continuously learn from operation, detect
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hybrid quantum systems (including open-system and non-Hermitian effects). Design noise-resilient control and optimization strategies, including reinforcement learning (RL) and optimal control approaches
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Vacancies Post-doctoral position in Experimental Analysis and Control of Induction Welding Process for Thermoplastic Composites of Thermoplastic Manufacturing Process To vacancy overview Apply now ET
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Job Description Join us in building a new research lab that develops and safety-tests AI tools for engineering work, running on local compute infrastructure that we build and control ourselves. You
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-supervised learning. Familiarity with neuroscience, or ethology is a plus. Position 2 — additional desirable expertise: reinforcement learning, imitation learning, optimal control, dynamical systems, or
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power control of second-life batteries. The successful candidate will work with Dr. Huazhen Fang and other collaborators. The research aims to advance the technologies needed to repurpose retired electric
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drastically reduces power and latency. We are looking for a Postdoctoral Researcher / Research Engineer with a background in Embedded Systems and Low-Level Programming to design the control logic that
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characterization Experience with the automation of experimental systems, including hardware control (e.g., motorized mirrors, cameras) and software integration Strong programming skills, preferably in
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formulating, characterizing, and tuning designer solvent systems (e.g., selecting hydrogen bond donor/acceptor combinations to control metal speciation, solubility, and transport properties) is highly
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AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty