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Field
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NTNU and the application process here. About the position This PhD position will be hosted at the Department of Engineering Cybernetics (ITK), holding peak competences in decision-making, optimization
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, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with the activities of the Norwegian Center on AI for Decision (aiD
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analyses of synaptic connections and tip link integrity. A fourth cohort will be treated with the optimal post trauma acoustic protocol identified in Goal 2, allowing us to test whether improved tip link
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9 Apr 2026 Job Information Organisation/Company UNIVERSIDAD DE BURGOS Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 20 Apr 2026 - 11:59 (Europe/Madrid) Country Spain Type of...
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(ITK), holding peak competences in decision-making, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with
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peak competences in decision-making, optimization, control, and AI for cyber-physical systems. The position will be part of the research centre the Norwegian Center on AI for Decision (aiD) cooperating
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: “Optimizing microwave plasma-based reduction of metal oxides” under the supervision of Prof. von Keudell, Chair for Experimental Physics – Reactive Plasmas at the Faculty of Physics and Astronomy, Ruhr
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independently to ongoing projects with minimal additional training. Duties • Design, perform, and optimize experiments involving cell-based super-resolution microscopy and single-molecule imaging to quantify
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex environments, and develop fine-tuning protocols for large pre-trained