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machine learning offer a great opportunity to effectively extract evidence that will need to be calibrated in the form of a LR for presentation in court. Some members of the network, including the Ph. D
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of machine learning and bioinformatics, implementing advanced techniques such as encoder-decoder language models, graph neural networks, and contrastive learning to annotate protein sequences with precision
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learning of generative protein language models. The successful candidate will have the unique opportunity to work at the interface of computational and experimental biology, implementing and refining machine
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skills. Excellent academic record. International experience. Previous experience with experiments Experience in modelling, programming, and machine learning. Excellent English speaking and writing skills
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motivated and eager to work on evolutionary and biological problems and to learn about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic
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about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic disease, subject to population genetics forces like mutation, selection and
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research in Computer Vision and Machine Learning and the potential applications to Biometrics, Explainability, Security, and Media Forensics (among others)? If so, we have the perfect opportunity for you! We
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Education System (minimum 300 ECTS) or equivalent by October 2024 Languages You are proficient in English Technical skills R and/or python programming Data visualization (e.g. ggplot2) Basic machine learning
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machine learning, cloud computing, and computer networking. Advanced levels of programming complex soutions in Java/Rust or Python. (Desirable) Experience in research, scientific publications, and a
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. This involves data exploration, machine learning, model development, and hypothesis testing in cognitive science. Innovative Study of Creativity and Mental Health: AI-Powered Creativity Assessment: Developing