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a profound knowledge on the majority of the following topics: Robot control Reinforcement learning Simulation of robot dynamics Deployment of learning-based solutions Preferably, the candidate has
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, for static and dynamic measurements and reliability measurements). Key Responsibilities Research & Learning: Develop expertise in GaN device physics and wide-bandgap semiconductor technology. Simulation
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familiar with moral philosophy and political philosophy. Experience with philosophy of economics will be an advantage but is not a requirement. To be eligible for the position, the applicant must have
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. If one of the attached publications is a master thesis, only the problem formulation and the conclusion should be attached, not the entire thesis. • Information on teaching experience or other forms
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document describing the grading scheme of the awarding universities (if not Danish). Only for applicants from programmes that evaluate thesis/examination project by approved/not approved: Please submit
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for calculation grade point average. Find the form at the Faculty website . An official document describing the grading scheme of the awarding universities (if not Danish). Only for applicants from programmes
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to develop circuits that convert analog neural signals into digital or event-based outputs (e.g., spike-compatible signals) suitable for a neuromorphic backend. Note: This position does not involve designing
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document describing the grading scheme of the awarding universities (if not Danish). Only for applicants from programmes that evaluate thesis/examination project by approved/not approved: An official
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background in solid-state physics. Experience in optical spectroscopy, fabrication of van der Waals heterostructures, electronic transport, and near-field optics are a plus but not a stringent requirement
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will obtain a degree from both host institutions, and complete research stays either at world-leading industry partners or at prestigious non-European academic partners: University of Southern Denmark