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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
, their use in high-speed manipulation remains largely unexplored. This PhD project aims to develop robotic solutions that exploit compliant and flexible robots for rapid manipulation tasks, with experimental
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. 2.2.4. Not hold a PhD awarded by a Spanish or foreign university. 2.3. Obligation to meet all requirements throughout the recruitment process If an applicant, at any point during and before the completion
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer
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system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and written
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PostdoctoralResearcher in Radio Frequency Fingerprinting using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine
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, and dissemination activities. It is also required that the PhD students are physically present at the department on a regular basis and have an interest in joining the Department’s active research
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forums, strengthening the Department's profile with regulators, government and industry. You may be a great fit if you: Hold a PhD in accounting or a closely related discipline. Demonstrate an outstanding
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candidatar aceda ao seguinte endereço: https://drh.tecnico.ulisboa.pt/docentes/recrutamento/pessoal-docente-de… Additional Information Benefits Level: PhD degree for more than 5 years Duration of contract
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that provide direct optical access to spin-physics and offer a tunability approaching that of cold-atom simulators. The Quantum Opto-Electronics Group (QOEG; https://smolenski-lab.com ), led by Prof. Dr. Tomasz
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of the catalytic and ion transport properties of new 2D materials. The successful candidate should have already submitted their PhD dissertation in Physics, Chemistry, Material Science or related discipline