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, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency
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of the ICCVS is the development of personalized vaccine against non-small cell lung cancer (NSCLC). The approach is based on the use of cancer specific T cells that are selected by the special algorithm
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Candidates must have a PhD in nuclear
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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that the estimation and control algorithms comply with automotive standards and are compatible with automotive protocols. They will lead EMB test bench development and provide the necessary training to the PhD student
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environment will be developed using hardware-in-the-loop components, enabling realistic scale-up to a full computing center and systematic evaluation of advanced operating strategies. Specifically, the PhD
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 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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engineering Grant duration: 12 months, starting on 2027-01-01 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor: Hugo