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of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to this is individual and societal resilience and
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modelling, wavefront shaping, and machine learning algorithms. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before 15 June
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analyzing textual and visual content with supervised machine learning. Conducting focus groups with social media users to understand how this content may shape beliefs and attitudes about AOMs, a healthy diet
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on several influential ranking lists. The Faculty of Behavioral and Social Sciences excels in teaching and research in the fields of human behavior, thinking, learning, and how people live together. We work
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such as Problem-Based Learning (PBL). Both the Dutch and English programs are highly ranked by students and alumni. ESSB is home to over 4000 students and more than 400 staff-members. The different
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learning (ML) methods in healthcare settings. You will investigate how causal inference techniques can be leveraged to enhance the monitoring of deployed medical AI applications. This exploration will
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, Biomedical Engineering, or related field; You demonstrate strong programming skills in Python and have experience with deep learning frameworks such as PyTorch; You have experience in medical image analysis
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that integrate deep learning with neuroscientific mechanisms to understand auditory scene processing. You will design, implement, and evaluate AI models for auditory scene analysis, working with large-scale sound
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development - Leiden University ), focusing on competencies, task variety, and the impact of teaching roles. It aids in setting development goals and planning learning activities, such as for annual performance
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programming languages such as R (Experience with NetLogo is preferred but not essential). experience in the development and use of spatial microsimulation and a familiarity or willingness to learn agent-based