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Field
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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fulfilment of obligations in the PhD study programme The research work in this call will predominantly focus on the following areas: Agentic systems Digital lexicography Natural language processing tools
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collaboratively. Desirable skills Experience in training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based
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training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows. Prior experience in a research lab
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training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows. Prior experience in a research lab
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Balard Chemistry Building, within the Institut Charles Gerhardt de
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of genetic loci and chromosomal rearrangements. • Develop and analyze individual-based (agent-based) models programmed in SLiM or C++ to test the robustness of analytical results (e.g., accounting for genetic
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on complex CO₂ transformations—with applied research aimed at developing more sustainable and circular fermentation processes. We will seek to adapt boron- and silane-based reducing agents, as
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17 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Application Deadline 15 Jul 2026 - 21:59 (UTC