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and as part of a team. Position 1 — additional desirable expertise: computer vision, video understanding, action recognition, multimodal/vision-language models, pose estimation, or large-scale self
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reasoning about them remains surprisingly difficult. Our research addresses this challenge in the following domains: Designing expressive languages for specifying network behavior Developing verification
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. The goal will be achieved by establishing a network of 14 Doctoral Candidates (DC) working in synergy on complementary topics and supported by highly qualified supervisors from European universities and
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. The goal will be achieved by establishing a network of 14 Doctoral Candidates (DC) working in synergy on complementary topics and supported by highly qualified supervisors from European universities and
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. The goal will be achieved by establishing a network of 14 Doctoral Candidates (DC) working in synergy on complementary topics and supported by highly qualified supervisors from European universities and
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powers this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI
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by pH and substrate availability constrains metabolic network architecture despite substantial taxonomic turnover in anaerobic digestion communities, providing a mechanistic explanation for
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in Switzerland, where ongoing manipulations allow disentangling the effects of vapor pressure deficit (VPD) and soil moisture on mature trees. The project will then expand to a network of forest sites
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projects. The precise research topic(s) will be discussed with the successful candidate depending on their background, expertise and affinities. Analysis and publication of results Build a strong network
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of multi-national researchers Access to a network of renowned scientists in their field Possibility of further training Presence at the lab in EPFL Lausanne campus required, with some remote work