119 brain-computer-interface Postdoctoral positions in computer-science in Netherlands
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- Delft University of Technology (TU Delft)
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Saarland University. The Human Media Interaction group does research into multimodal interaction: from brain-computer interfaces to social robots and from sensor technologies to interactive sports and play
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structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program. Agentic AI for ALD
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Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday
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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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for strain improvement. The project will combine cell biology, genome editing and quantitative physiological studies in laboratory bioreactors. The position offers a unique opportunity to work at the interface
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for an enthusiastic PostDoc candidate to join the ERC Synergy Project TurPhyCloud, who will work on the interface between the atmospheric measurements, simulation strategies and analyses. You will co-develop
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decision-making, and prosocial behaviour using cross-species approaches. The Social Brain Lab combines human neuroimaging, animal models, causal circuit manipulations, computational modelling, and
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in human-computer interaction, interaction design, or sports, health and wellbeing technology Good theoretical knowledge and hands-on experience in several of the following areas: user interface and
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consortium This position is an opportunity to work at the interface of rigorous computational mechanics, mechanobiology, machine learning, and translational cardiovascular modeling. We are looking for a