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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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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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will develop a design-build-test-learn cycle, combining high throughput experiments and active learning to obtain synthetic cells with the desired properties. You will integrate liquid handling robots
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Physics Informed Machine Learning method which exploits the advantages of physics-based and data-driven models, while mitigating the disadvantages. This research will contain experimental and modelling
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of work, careers, leadership, Diversity and Inclusion, meaningful work, well-being, proactivity, HRM, sustainability, learning, community, trust, and innovation. School of Business and Economics We