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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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visual signals such as gestures and lip movements. Working with advanced EEG and MEG methods, naturalistic stimuli and innovative analytical approaches, you will help unravel the neural dynamics
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connecting the fundamental and applied aspects. You have experience in (micro)materials characterization, chemical characterization, and/or material visualization techniques. Experience in e.g. resin
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dough mechanics. This project aims to establish this fundamental knowledge by combining nonlinear rheology, shear-induced normal force rheology measurements, and in situ visualization of microstructural
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and conducting an eye-tracking experiment investigating how the design, placement, size, timing, and visual presentation of quality labels in an app-store environment shape users’ attention and
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writing; Strong communication skills and preferably expertise with learning design (for example visual media production project); Knowledge of mediated participation in a context of natural resource
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction