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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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lives, learn better and function better. Are you interested in joining Behavioural and Movement Sciences? You are the kind of person who feels at home working in an ambitious faculty, with an informal
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Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in your academic career? Your interests lie in the field of machine learning techniques
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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
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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over
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, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives. If you want to learn more about working at Radboud
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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novices and experts on a task and map their learning trajectory. What are you going to do? You will be responsible for coordinating and carrying out this project, in collaboration with the two PIs (Jelmer
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be able to track differences in strategy use between novices and experts on a task and map their learning trajectory. What are you going to do? You will be responsible for coordinating and carrying out
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that