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Field
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crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and autonomy
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of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing
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. Qualifications The successful candidate will have a PhD and a strong background in quantitative research/statistics/econometrics. Strong computational skills are required. Ideally these skills would include
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discoveries in protein function, ligand binding, and dynamics through scalable computational analysis. The ideal candidate would have a background and an interest in Computational Biology, Artificial
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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related
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eager to combine computer vision, biomechanics, and synthetic data generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical
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Science/Artificial Intelligence, as well as master's programs in Computer Science, ICT in Business and the Public Sector, Media Technology, and Science Based Business. According to an independent research
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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, workshops, demonstrators, and international collaboration activities within the AutHUMate consortium. Job requirements Essential: PhD in Human-Computer Interaction, Human Factors, Interaction Design or a
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publications, alongside consortium deliverables. Our offer You will become part of the funded research program in the Netherlands named ‘Care is coming home!’, which involves 9 PhDs and 5 Postdocs. So, we offer