294 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Spain
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- Institute of Photonic Sciences
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidad de Murcia
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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- Josep Carreras Leukaemia Research Institute (IJC)
- NEIKER-Basque Institute for Agricultural Reseach and Development
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the Barcelona area, and with strong collaborations with our Spanish partners within the Complementary Plan of Quantum Communications (https://www.quantumcommunicationsspain.eu/en ). This project is funded by MCIN
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include an FC150 bump-bonding machine, a Pac Tech SB2 solder deposition machine, an F&K Delvotec automatic wire bonding machine, and a dedicated lead-shielded room for sensor characterization with radiation
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devices dedicated to implementing next-generation QKD system protocols (high-dimensional systems, stable and robust architectures, etc.). Share this opening! Use the following URL: https://jobs.icfo.eu
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AI4Science project, specifically focusing on the intersection of advanced machine learning and sustainable catalysis discovery. The primary incentive of this Postdoctoral Fellowship is the chance to contribute
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the group. The group is currently involved in several European projects. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=908
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Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing
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Outbred Rats (https://ratgenes.org/ ). Whom would we like to hire? Professional experience Must Have You have proven experience reconstructing MAGs from deep shotun sequencing data and, ideally, long read
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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the development and assessment of neurotechnology aimed for invasive brain-computer interfaces. In particular, the work will include in vitro assessment of the performance of electrophysiology neural
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learning and the use of robust statistics. This work is naturally extended to studying physics prospects for the next generation of detectors. IFAE is supported by its own PIC computing center, a Tier1 LHC