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- Delft University of Technology (TU Delft); Delft
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Are you passionate about deep learning, generative AI, agents? We are seeking a postdoctoral researcher to join the research group led by Ivan Titov ( http://ivan-titov.org/ ), part of the natural
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, radiologists, hepatologists, and healthcare professionals, requiring excellent interdisciplinary communication skills. This is a 3-year position. This postdoctoral position is funded under the ZonMw project AI
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are seeking a postdoctoral researcher to join the research group led by Ivan Titov (http://ivan-titov.org/ ), part of the natural language processing group of the Institute for Logic, Language and Computation
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Novel Broadband (Visible-to-Shortwave Infrared) CMOS Image Sensor Pixel Architectures Job description The Image Sensor Group in the EIectronic Instrumentation Lab is looking for a postdoctoral
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cell research, and bioartificial organs. About the role As a postdoctoral researcher, you will design, fabricate, and characterize 3D-printed scaffold architectures using a range of additive
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interdisciplinary communication skills. This is a 3-year position. This postdoctoral position is funded under the ZonMw project AI-HCC: Explainable AI for Prediction and Early Detection of Hepatocellular Carcinoma
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. Postdoctoral Researcher in Biofabrication (Additive Manufacturing) Our goal: Develop cutting-edge biofabrication technologies for complex tissues and organs that push the boundaries of regenerative medicine
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Science, Civil Engineering, Architectural Technology or related fields. Exhibits academic excellence, as demonstrated by their PhD thesis and/or publications in relevant fields. Strong programming experience in
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying
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. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture for analog CIM accelerator Develop efficient mapping schemes