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) – presentation of results at conferences – interaction with team members and international collaborators Required skills : Degree : Master of Physics, data science, computer science, applied mathematics We expect
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mobile network intelligence. The successful candidate will design original AI solutions for the automation of network functionalities to be deployed in next-generation 6G systems. The focus of the studies
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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collaborative, data driven, computational and intelligent systems, all with a strong interactive component. You will be part of Amsterdam Machine Learning Lab (AMLab). AMLab conducts research in machine learning
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, software-defined material flow platform that is transforming intralogistics. Our patented technology replaces rigid conveyor systems with intelligent hexagonal cells equipped with omnidirectional wheels
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. Tasks and Responsibilities: Lead research on the design and development of functional food ingredients, investigating the interactions between ingredient structure, technological functionality, and
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on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods for the representation, analysis, and control of systems subject to various
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an understanding of technology and society, researches the interaction between people, technology, society and nature, and designs innovative, human-centred and aesthetic products, systems and services. Are you
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We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in Artificial Intelligence. College / Directorate College
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power