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Field
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supportive atmosphere with regular meetings, seminars and social activities. We’re confident you’ll soon feel at home with peers who are just as passionate as you are about (metal) enzymes. Job requirements
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goal-oriented mindset, and a passion for (scientific) challenges, you are the right person for us. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
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(or Generative AI more broadly) with Symbolic AI techniques. In this hybrid approach, the Generative AI component proposes candidate solutions to a problem, while the Symbolic AI component validates
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(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
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developing AI driven ultrasound solutions by collaborating with the Diagnostic Image Analysis Group (DIAG). The Department of Medical Imaging is one of the leading centers in the world as also demonstrated by
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. Conduct research activities including literature analysis, policy analysis, stakeholder interviews, analysis of surveys. Instigate and report study results in international academic outlets as
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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department to create artificial structures with tailored electronic properties [8]. Relevant references: [1] Kamber et al., Science 368, eaay6757 (2020), Self-induced spin glass state in elemental and
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-bearing skin constructs using 3D bioprinting. To achieve this, you will design and perform various cell and tissue culture experiments. You will analyze data, using statistical analysis methods and
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aviation, hydrogen fuel cell technology has emerged as a promising alternative to conventional kerosene-based propulsion systems. A key component of fuel cell powertrains is the air supply system, which