194 engineering-computation-"https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs in Netherlands
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- University Medical Center Utrecht (UMC Utrecht); Published yesterday
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- Utrecht University; Published yesterday
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Field
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designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
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document representations that enhance accuracy, facilitate automation, and improve interoperability across different model types used within the organization. Context-engineering automation for agentic AI As
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prevention, sustainability, and meaningful care, which we achieve through our in-depth understanding of disease mechanisms, clinical science, public health research, medical technology and data science. Our
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and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and
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transformation of energy planning towards climate neutrality), funded through the Biodiversa+ programme, brings together leading universities and research institutes from across Europe to identify pathways
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application of computational methodology in biology. You enjoy close collaboration with domain experts. You have a creative mind and look forward to work at the cutting-edge of computational technology. Finally
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of expertise spanning from integrated photonics technology development, optical biosensing, microwave photonics and quantum photonics. Three groups within the department are involved in the PIXEurope project, as
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, that encompasses other researchers, postdocs and PhD students. The research groups in which you will reside are well-equipped, with ample computing facilities, and a state-of-the-art laboratory, encompassing a large
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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laboratory environment (ML-1/ML-2), supported by live cell imaging, 3D confocal microscopy, and automation technology.