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for Interference-Based Brain Stimulation. The DC will develop the theoretical foundations and system designs for a self-optimizing and self-healing implanted communication network enabling transcalvarial networked
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DFT, beyond-DFT, and experimental techniques. We are also interested in developing both forward and inverse machine learning models to accelerate and optimize the design processes. We work in close
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, operation, and optimization of SPS- and PLC-based control systems for experimental equipment and beamline instrumention Integration of hardware and software interfaces (motors, detectors, sensors, sample
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Engineering, Computer Engineering or similar areas. Project: HeAICare: AI-Driven Solutions for Optimizing Feto-Neonatal Neurodevelopment: Monitoring, Diagnosis, and Personalized Treatment Where to apply E-mail
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, layout generation, nanofabrication, laboratory characterization and application development. Experiment automation, measurement optimization, hardware and software development for collection and processing
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application development. We are seeking up to two Process Engineers or Research Scientists with hands-on experience in packaging and assembly of photonic integrated circuits (PICs). The selected candidates will
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systems Additional Information Work Location(s) Number of offers available1Company/InstitutePRISMECountryFranceCityOrléansPostal Code45100Street12 Rue de BloisGeofield Contact City Orléans Website http
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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on the processing of personal data at Humboldt-Universität within the framework of job advertisements can be found on our Website: https://hu.berlin/DSGVO . Please visit our website www.hu-berlin.de/stellenangebote
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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/03/31 23:59:59 (posted 2026/02/19) Position Description: Apply