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study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and Control Section. In electronic
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progressed capabilities towards exploiting zero-day vulnerabilities. Frontier models show promising performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases
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) Based on the score of their academic qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury
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(ISSE) of the University of Technologies Clausthal is hiring a Research assistant in the field of digitized AI-based classification, sorting, and logistics (if the personal requirements are fulfilled EG
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is Bergen, Norway. Qualifications and personal qualities: You must: hold a master's degree (thesis based) or the equivalent in Computer Science, Information Security, Statistics, or related fields
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Research Framework Programme? Not funded by a EU programme Reference Number #5174; FCiências.ID/2026/DL57/cE3c/1 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Internal code:Researcher
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perovskite structure (BCZT); 2) develop a drug delivery system based on PCL microspheres containing anti-inflammatory agents (dexamethasone and/or other corticosteroids, amoxicillin, ciprofloxacin); 3) design
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funded. International applicants must demonstrate in their application how they will fund shortfall in fees by other means (personal funds,l or other grant); International applicants can visit https
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CSIRO Industry (iPhD) Scholarship - Advancing Medical Diagnosis with Multimodal LLM and Agnostic AI Agents This project investigates the use of agnostic AI and multimodal LLMs to improve medical