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trustworthy medical AI? Deep models already outperform humans on many benchmarks, yet in the clinic they remain black boxes: radiologists cannot see why an algorithm flags a lesion, and AI engineers cannot tell
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research will be supervised by Prof. Christof Devriendt, head of the research group on structural integrity monitoring for offshore structures and Dr. Francisco de Nolasco, postdoctoral researcher working
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out wet lab work which will feed and support your in silico research, and will be supervised by Prof. Spits – an expert in aneuploidy in early development – and bioinformatician Prof. Olsen. You’ll have
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heterogeneity by migrant background, thereby enabling more accurate projections of disease dynamics and disease burden in different segments of the population. You will join the DynaMIGs-team, coordinated by prof
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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
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their validation, how effectively they generalize and extrapolate knowledge, and how might they be improved through transfer learning. You will be supervised along your efforts by Prof. Christof Devriendt
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the loop between information theory and AI models for cooperative perception. Real-World Validation: Deploy and benchmark your algorithms on our autonomous vehicle, mobile robots, and UAV testbeds. You will
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. Real-World Validation: Deploy and benchmark your algorithms on our autonomous vehicle, mobile robots, and UAV testbeds. You will: Publish in CVPR/ICCV/ECCV, NeurIPS/ICLR, INFOCOM/ISIT and leading IEEE
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the supervision of Prof. Dr. Paul De Hert and produce high quality research outputs. Engage in secondments as part of the project’s training activities (6 months at Utrecht University under the co-supervision of Dr
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for Energy, Transport and Climate provides support to EU policies in the field of sustainable, safe, secure and efficient energy production, distribution and use. Fostering sustainable and efficient mobility