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of the methods. The project is carried out in close collaboration with Helical-AI, an industrial partner specialized in large-scale genomic foundation models and HPC-enabled model deployment, ensuring
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an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches In-depth qualitative and immersive fieldwork conducted by the geography team A key
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track record on one of the following research areas: Trustworthy AI AI for formal methods Formal methods for AI The successful candidate will participate in the activities of the research group led by
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• Supervision of interns, collaboration with PhD students The team investigates logical foundations and formal methods for quantum programming languages leveraging on a strong expertise in linear logic, lambda
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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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Description RESEARCHER PROFILE: Postdoc/R2: PhD holders RESEARCH FIELD(S)1: Environmental Science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Biological sciences, geography JOB /OFFER DESCRIPTION The ClimatFeux
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, please contact Prof. Dr Janne Fengler at Your profile Excellent PhD in Educational Sciences, preferably with reference to one of the following subject areas: experiential education / outdoor education
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, intercultural and inter-institutional awareness as well as a spirit of team-work are prerequisites: PhD in educational sciences, social sciences or equivalent Strong knowledge of qualitative and/or quantitative