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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Global environmental change is reshaping ecosystems worldwide, and we urgently need new
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2025 Apply now Global environmental change is reshaping ecosystems worldwide, and we urgently need new insights into how interacting drivers, such as nutrient enrichment an drought, affect species
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”, connecting EO with a growing ecosystem of disruptive and transformative innovation, encompassing AI, ML, quantum computing, edge computing, metamaterials, photonics, etc. Many of the challenges posed by new
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at RIBES using machine learning and genomics to overcome linkage drag and accelerate crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining
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”, connecting EO with a growing ecosystem of disruptive and transformative innovation, encompassing AI, ML, quantum computing, edge computing, metamaterials, photonics, etc. Many of the challenges posed by new
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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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a growing ecosystem of disruptive and transformative innovation, encompassing AI, ML, quantum computing, edge computing, metamaterials, photonics, etc.. Many of the challenges posed by new
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/transformative innovation in the sector. Our vision is to become an “EO innovation hub”, connecting EO with a growing ecosystem of disruptive and transformative innovation, encompassing AI, ML, quantum computing
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of developing cutting-edge deep 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
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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