10 learning "https:" "https:" "https:" "https:" "https:" positions at Maastricht University (UM) in Netherlands
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e-learning, assessment, faculty development, and evaluation or quality improvement. https://www.maastrichtuniversity.nl/research/educational-development-re… School of Health Professions Education
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in your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research on
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PhD candidates and two postdoctoral candidates (see here for more information https://www.maastrichtuniversity.nl/fpn/forensic-psychology) . Section staff members’ research interests span reliability
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background in machine learning and deep learning, including experience developing, training and evaluating models, preferably for image analysis tasks. You have strong programming skills in Python
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construct an adaptive interpretation of the world? How do sensory information, prior knowledge, expectations, goals and internal states interact to shape perception, learning and decision-making? At
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two core areas: human neuroimaging or AI/machine learning/NeuroAI. For candidates with a neuroimaging background, this may include experience with data acquisition, preprocessing, and/or analysis
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business modules within UCV while building a coherent entrepreneurship learning line across the curriculum. At the same time, you develop UCV's business network in the Venlo/Euregion region by connecting
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PhD project, you will join an interdisciplinary team and use therapeutic techniques and fundamental learning procedures to tackle distressing images related to aversive memories. The aim is to generate
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well as as part of a team. You are open to learning new data analysis techniques and approaches and have strong organisational and communication skills. In addition, you have: A master’s degree (MSc
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mentor students in their academic development. Apply and further develop problem-based learning (PBL) methodologies in your teaching. Build collaborations across research groups and study programmes