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- Delft University of Technology (TU Delft); Published yesterday
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that can learn to manipulate the physical world — safely, reliably, and from just a handful of demonstrations? The University of Amsterdam’s VISLab is looking for a Postdoctoral Researcher in Robot World
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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microscope, as well as a slide scanner for high-throughput imaging. As a research assistant, you will primarily support the generation, maintenance, and functional characterisation of human stem cell-derived
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: Solid experience in experimental ultrasound imaging Solid experience with ultrasound sequence programming Solid experience with ultrasound image reconstruction and signal processing Desirable skill
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imaging inside human long bones (https://doi.org/10.1007/978-3-030-91979-5_10). For optimal imaging inside bone, one must consider the challenging 3D wave physics imposed by bone tissue: wave refraction
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postdoctoral position funded by an ERC Consolidator Grant ‘SPARK’ awarded to Dr Lennart de Groot . Where to apply Website https://www.academictransfer.com/en/jobs/357812/postdoctoral-researcher-in-data
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background in Earth Sciences or another appropriate field. You will work on the project “Nanoscale Rock Magnetism and Magnetic Imaging”. Your job This study is part of the ERC Consolidator project SPARK, which
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» Computer engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 15 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job
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, proteomics approaches, as well as immunohistochemistry, fluorescent in situ hybridization (FISH), and confocal imaging. Furthermore, you will use state-of-the-art in vivo noncanonical amino acid tagging (NCAT