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Apply now We are offering a full-time, three-year Postdoc position as part of the Dutch Research Council external link (NWO) ENW-XL programme. You will join the Levato research group at the Regenerative
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. Exploring how these models can enhance human-computer interaction and improve our understanding of multimodal communication.To do so, you will have full access to motion-capture and virtual-reality labs, 3D
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to the ground segment and operations domains, for the procurement and delivery of data systems in support of ESA’s Space Safety Programme, and as a matrix support provider to ESA programmes and mission operations
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seminars, workshops, and conferences of the programme. Selection Criteria For a post-doctoral researcher: a PhD in comparative political economy, political science, economics, sociology, public
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
Bertone? GRAPPA is looking for an ambitious Postdoctoral researcher. The successful candidate will help advance theory and computational modelling of compact binaries in astrophysical/dark matter
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Groningen. It has more than 5000 students and 700 staff members, who are working at the frontiers of knowledge every day. The Faculty offers a wide range of degree programmes: 15 Bachelor's programmes and
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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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analysis and dose verification (depending on your experience). What you will do As a postdoctoral researcher, you will: Independently carry out experimental and computational research within
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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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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings