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-scalar integration or AI applied to biomedicine. Expert knowledge of causal analysis methods, biological network modelling, machine learning and deep learning. Experience in collaborative environments with
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Research Support Technician for the GreenME Project of the BITAL Research Group (temporary position)
needs and the nature of the tasks involved. About the UOC A leader in e-learning, our pioneering university is a digital native with global reach and a mandate for public service. We've been providing
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the job profile (sections 2 and 3 of this annex), as well as to: Programming in Python Use of machine learning libraries: TensorFlow, PyTorch and scikit-learn Development of supervised and unsupervised
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, and WINC projects, focusing on quantum error correction, quantum machine learning algorithms, and other related topics, as well as contribute to research efforts in other CBA-N3Cat group projects
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of research staff (contract type: open-ended contract; job category: senior technologist) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals
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clinical or biomedical laboratory. Intermediate knowledge of read and written English for the interpretation/understanding of standardized work procedures. Motivation for research, ability to learn and work
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invites applications for tenure-track (Assistant Professor) faculty positions. We are primarily interested in recruiting excellent candidates in the areas of: Machine Learning, including Formal Reasoning
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life
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causal modelling. Provide methodological and analytical support to projects aimed at personalised and predictive medicine. Application of artificial intelligence: Provide support in AI and machine learning