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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote
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Higgs and Standard Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies
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Experience training or tuning transformer architectures What you will do You will do research within the themes of the research group, aimed at the highest international standard You will assist in
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modeling of quantum computer systems. This can be either a holder of a PhD in computer science and/or engineering (computer architecture and HPC related topics) with knowledge in quantum computing or a PhD
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team, where PhD students and postdocs work alongside senior scientists to shape the future of photonics. The Integrated Solid-State Photonics Lab is a newly established research group within
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1D and 2D materials for thermal management applications using chip last or chip first concepts in collaboration with our EU project partners. Contribute to the supervision of master’s and PhD students
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candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while introducing recyclability and regulatory compliance. Your Tasks: Develop and characterize
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transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories. Build robust
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extensive experience in the development and characterization of new renewable macromolecular architectures. The candidate (M/F) will carry out their work as part of a European project involving a dozen
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of hybrid foundation model-graph neural network architectures for gene perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g