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Università degli Studi di Cagliari - Dipartimento di Ingegneria Civile, Ambientale e Architettura | Italy | 15 days ago
Chemical Foundations of Technologies / SSD 03/CHEM-06/A – Chemical Foundations of Technologies, within the framework of the project “RESQTOOL - Recycling of High Quality CRM Resources from Machining Tools
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19 Mar 2026 Job Information Organisation/Company Università degli studi di Brescia Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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for employment has been made. Time Type: Full time Position Term: 12 Month Washington State University encourages all qualified candidates to apply, including members of the military and veterans, and persons with
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the Commission on Colleges of the Southern Association of Colleges and Schools. We invite you to become a part of the Southwest Team! Title: Faculty - Computer Information Technology (Tenure-Track) Employee
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within a Research Infrastructure? No Offer Description Group Leader in Quantum Algorithms and Machine Learning (f/m/x) Ref. Number: MAB/06/2026 Location: Warsaw, Poland Salary: 20 750 - 24 250 PLN/month
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Research Scientists as part of its new initiative, Polymathic AI, Building Foundation Models for Science. Recent advances in machine learning, including Large Language Models and diffusion based generative
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of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be involved in the development and implementation of machine
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database