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population data will be considered a strong advantage. The ideal candidate is comfortable learning new analytical methods and working with large and complex datasets. Qualification requirements PhD stipends
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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://calls.ikerbasque.net/ Work Location(s) Number of offers available1Company/InstituteIkerbasqueCountrySpainCityBilbaoGeofield Contact City Bilbao Website http://www.ikerbasque.net E-Mail info@ikerbasque.net STATUS
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conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field
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presentations, and consortium meetings. Supervise junior student projects, where appropriate. Complete and defend a PhD thesis within four years. Where to apply Website https://www.academictransfer.com/en/jobs
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Website https://www.academictransfer.com/en/jobs/357906/phd-position-on-computational-i… Requirements Specific Requirements We are looking for talented enthusiastic PhD candidates who meet the following
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 6 days ago
Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of AI4Quantum – Machine Learning for Quantum Simulation and Computing is looking for a PhD
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Computer science » Programming Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 17:00 (Europe/Rome) Country Italy Type
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, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-177 Requirements Additional Information
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machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with