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The advent of automated production in nanomedicine opens transformative opportunities for advancing healthcare innovation. By enabling high-throughput synthesis, precise control over nanoparticle
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The advent of automated production in nanomedicine opens transformative opportunities
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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infrastructures with real-world critical applications that keep the society running. We collaborate closely with Oslo Metropolitan and other universities, as well as industry and public sector in Norway and abroad
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students driving innovation across marine, energy, robotics, and materials engineering. With world-class facilities and strong industrial partnerships, we tackle real-world challenges through high-impact
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modern laboratories and plant growth facilities including an automated phenotyping facility and state of the art laboratory equipment and instrumentation. Principal supervisor is Professor Thomas Roitsch
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 8 hours ago
is an Inria research team is the domain of distributed systems and software engineering. Spirals aims at introducing more automation in the adaptation mechanisms of software systems, in particular
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industrial design cases, and guidelines for transparent human–AI co-creation. 3 – Automated Algorithm Design using Large Language Models This project applies LLMs to synthesise or fine-tune optimisation