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Field
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Full-time: 35 hours per week Open-ended (permanent)/Fixed term: 31 August 2026 The project is looking to recruit research assistant(s) familiar in AI, NLP and financial computing to assist with
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preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for
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is part of the CRM Lion project, which is part of the national program for Material Independence & Circular Batteries, supporting the development of Li-ion battery recycling industry in the Netherlands
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 25 days ago
data, strong compute resources, industry collaborations and mentorship aimed at publishing high-impact ML/medical-imaging papers and clinical impact. What you’ll work on Develop and benchmark novel
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among higher degree by research students, and to promote knowledge transfer between academia
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University. The main task of the Cluster is to take 3D Additive Manufacturing to the next level by breaking current barriers of scale, precision and speed. The Cluster aims to advance 3D Additive Manufacturing
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leading research, education, policy and industry sectors. Our innovative programme offers exceptional PhD training and supports a diverse portfolio of multidisciplinary research across the NERC remit. We
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Application Deadline 1 Jun 2026 - 01:00 (Europe/Prague) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded
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The pipe industry, comprising PVC, HDPE, steel, ductile iron, and concrete pipes, significantly contributes to greenhouse gas emissions due to energy-intensive production, material sourcing, and
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. INDUSTRY COLLABORATION: Benefit from direct integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including