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Field
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all backgrounds. We offer a stimulating and collaborative environment in the physics of life. Phd students in our group have the opportunity to learn from the best scientists in the field, publish in
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genes. The doctoral candidate will acquire a broad set of skills, including trans-differentiation of fibroblasts into neurons (iNeurons), development and screening of antisense oligonucleotides (AONs
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, Communication Sciences, Philosophy, Educational Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes
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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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opening for a fully funded 4-year PhD position. We are looking for highly motivated applicants for a PhD student to strengthen our research team in an interactive and collaborative environment. Learning non
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opening for a fully funded 4-year PhD position. We are looking for highly motivated applicants for a PhD student to strengthen our research team in an interactive and collaborative environment. Learning non
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Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as time management, handling stress
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as time management