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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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, improved product quality, longer machine uptime, shorter lead times, and more resilient supply chains. In doing so, you will provide firms with evidence-based blueprints for sustainable AI implementation
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University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
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. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
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collaborative mindset and a preference for working in an interdisciplinary and international environment; Strong communication skills and an excellent command of English. Furthermore, Security screening executed
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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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applications sent by email and/or post. A pre-employment screening can be part of the selection procedure. For the final candidates, a knowledge security check will be part of the application procedure. For more
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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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learning, knowledge exchange, and joint knowledge creation. During these stays, 100% of the time of the PhD is dedicated to the research program. As part of NGinfra, the PhD candidate will also have ample