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applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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policy of the Agency. You are strongly encouraged to familiarise yourself with the technological activities performed by STS PNRR, in particular in the field of Model-based Digital Twin applied
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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productivity and community biomass to size spectra under stress. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological Indicators 79: 114-121. You will be part of the WP3 team
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Postdoctoral researcher for single-molecule protein sequencing with origami nanopores Job description We aim to develop single-molecule peptide sequencing using biological nanopores. The research
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Postdoctoral researcher for developing microfluidics for research on synthetic cells Job description In this project we will use the excellent microfabrication facilities of the Kavli Nanolab
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Postdoctoral researcher for studying in vitro transport across the nuclear pore complex Job description The selective control of import and export across membrane-spanning pores is vital for our
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral researcher
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the second challenge. In the context of STORCITO, the Copernicus Institute of Sustainable Development at Utrecht University is looking for a Postdoctoral researcher, for a fully funded 34 months position (0.8