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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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, or their LiDAR beam is blocked by a truck. To reach level-4/5 autonomy, we need teamwork: nearby vehicles, drones, and roadside units must co-perceive their environment, sharing and fusing complementary sensor
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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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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 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