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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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about the application procedure, please send an email to science.recruitment@uu.nl . Apply now As Utrecht University, we want to be a home external link for everyone. We value staff with diverse
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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, including two contacts of reference including phone number & email address. The top candidates will be selected for an online interview. Selection process Patrick van Rijn, p.van.rijn@umcg.nl , telefoonnummer
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cell lines have been engineered and characterised, you will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models
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to your expertise. What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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passionate about linking atomistic processes to device performance through computer simulations? Are you fascinated by designing next-generation semiconductors with quantum-mechanical methods enhanced by AI
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microscopy, microwave engineering, cryogenic measurements, and electronic characterization. Experience in these fields is highly desirable, though not strictly required. Most importantly, the candidate should
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) Email address Login Occupation Administrative & facility Assistant professor Associate professor Education EngD Finance HRM IT Lecturer Legal staff Management Marketing and communications PhD Policy and
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commercial electronic design libraries, combining high-frequency circuit techniques with the constraints of silicon processes. In parallel, you will develop on-chip antenna structures, performing full-wave EM