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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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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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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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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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psychology, neuroscience, AI engineering, human-computer interaction, and social science, with lifespan perspectives. Using advanced methodologies like neuroimaging, eye-tracking, virtual reality, and neural
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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 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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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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, IMC). Experience with image analysis software or libraries (e.g., Napari, ImageJ, scikit-image). Familiarity with machine learning concepts and their application in biology. We Offer: Number
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: Good level in spoken and written English (C1 level). Good computer skills (Word, Excel, Access, SPSS or similar, webpage, webmail). Experience and knowledge: Required: Experience in the diagnosis and