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. Job requirements General Requirements: MPhil or Research Master’s degree in Economics, Econometrics, Mathematics or Physics is preferred Candidates with an MSc or MA degree are required to successfully
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Supervisors: Prof. Gabriele Sosso, Dr Lukasz Figiel, Prof. James Kermode Project Partner: AWE-NST This project utilises advancing machine learning techniques for simulating gas transport in
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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or find out more? If you want to apply straight away, click the application button. If you would like more information about what the job entails, please contact prof dr Marieke Liem at m.c.a.liem
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and nanomaterials at the Composites and Advanced Materials Centre (Dr Sameer Rahatekar, Prof Krzysztof Koziol) and Hyper-velocity impact testing facilities at Centre for Defence Engineering and Physical
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number of teaching and research support tasks. Profile You hold a Master’s degree in physics, mathematics, computer science, biomedical engineering, or related field or you will have obtained it by
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van Laar (University of Groningen), dr. Emar Maier (University of Groningen) and prof. dr. Jean Wagemans (University of Amsterdam). Other members of the project team are: prof. dr. Lilian Bermejo-Luque
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, Mathematics, Artificial Intelligence, or equivalent, with excellent (‘honors’-level) grades. Your degree must be equivalent to 5 years of studies (bachelor + master) in the European Union. You have a strong
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/ ) led by Prof. Dr. Robert Böhm (https://robertboehm.info/ ) at the Department of Occupational, Economic, and Social Psychology. This position is part of the interuniversity cluster project, “Synthetic
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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design