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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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, 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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children's behaviour in their learning process with interactive devices and the influence of their peers. The aim is to advance theory and empirical knowledge about learning processes and child development
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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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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
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ideas Be able to explain the outcome of research and value thereof to research colleagues Specific Requirements Programming experience and a technical mindset. Engineers, computer scientists, physicists
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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 accredited, high
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | about 2 months ago
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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of relational and non-relational databases Knowledge of cloud-based architectures. Knowledge of Artificial Intelligence and Machine Learning. Ability to analyze the environment and take initiative to generate
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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with