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strategies (e.g., feature attribution, counterfactual explanations, dialogue-based explanations, hybrid symbolic–ML approaches); develop user-facing explanation interfaces that connect algorithmic reasoning
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relevant subject with the necessary technical knowledge and experiences, such as test facility design, flow modelling at different levels of fidelity, computational fluid dynamics (CFD), aero-thermodynamics
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collaborators. Tasks include formulating optimisation problems, developing algorithms for optimisation with Bayesian models, and implementing solutions in relevant software. Further tasks include the formulation
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: Python programming Bash programming Familiarity with genomic data Notions of algorithmics Experience with back or front-end web development is a plus Soft skills : team spirit ease in communication
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. Representative research areas of interest in systems biology and medicine are standards for sharing data across different hardware, software, operating systems, etc; tools that will aid in data collection at a
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' motivation and engagement. The proposed thesis concerns the second axis of the project, focusing on supporting patients' motivation and engagement across different spaces and times of their therapeutic
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
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round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals
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knowledge and experiences, such as test facility design, flow modelling at different levels of fidelity, computational fluid dynamics (CFD), aero-thermodynamics of power and propulsion systems, heat and mass
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and