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Postdoctoral Research Associate will be responsible for AI-driven materials discovery. The position will collaborate with interdisciplinary teams to develop integrated molecular simulation and machine learning
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of machine learning What We Offer: On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 5,014.30 gross per month (14 x per year, CA Job Grade
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. Research in the lab is highly multidisciplinary and quantitative, requiring development and use of cutting edge computational modeling and statistical analyses (including machine learning and artificial
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which must be advanced courses in computer science, mathematics, AI, machine learning or similar. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 2 months ago
appreciated : Interest in privacy, data protection, or evaluation of machine learning models. Experience with reproducible experiments (code organization, documentation, version control) is appreciated
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frameworks. Familiarity with machine learning or AI methods applied to imaging. Research Data Management and documentation practices Statistical Analysis & Experimental Design Technical Communication (reports
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and in vivo models. The prospective candidate will have opportunities to work within a highly interactive, multidisciplinary team. Preferences will be given to candidates who Have some relevant research
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expertise in sensor design, experimental testing, modelling, machine learning, and industrial collaboration, positioning you to contribute directly to next-generation inspection technologies for aerospace
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for part-time employment. Starting date: 14.01.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both undergraduate and graduate levels. Applicants for the Research Assistant Professor position