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Metal additive manufacturing process monitoring and control – Researcher, PhD position (ERC project)
, Production Systems and Automation under supervision of Assist. Prof. Dominik Kozjek and become a PhD student at the FME, University of Ljubljana, study program Production Engineering Sciences, Cybernetics and
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Belgium Application Deadline 12 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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Germany Application Deadline 2 Nov 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 17 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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secondment(s):•HCT: Dr. K. Schuster M21-26 (6 months duration) “Cylinder drilling, geometrical adaptation towards smaller preforms”•Iscte: Prof. T. Alves M41-M42 (2 months duration) “Experimental demonstration
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Research Framework Programme? Horizon 2020 Reference Number BAP-2025-653 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project aims to develop a
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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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 The Grand Est region is funding
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number OPUS-28 Is the Job related to staff position within a Research Infrastructure? No Offer Description Project
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Framework Programme? Not funded by a EU programme Reference Number 7100 / 2025 / 8890 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your Responsibilities Teaching
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single