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analysis of data from a Laboratory Information Management System. Key responsibilities will include: Core Scientific Contribute to the coding and development of custom data analysis algorithms and modelling
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sensors systems, 2D/3D cameras and LiDAR, inertial sensors, radar technologies, GPS, and calibration methods Real experience in designing, implementing and testing of robust, efficient perception algorithms
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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by
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algorithms in various projects. Contribute to the supervision of doctoral students and interns at the center. Participate in the training courses organized by the center. Work on collaborative projects with
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València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i Line: High-performance algorithms for vector processors https://www.upv.es
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to grant writings. Further information on the Quantum Device Modelling group can be found: http://www.warwick.ac.uk/nanolab . Flexible Working We will consider applications for employment on a part-time or
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of HLA donor search algorithms and other non-HLA factors, such as ABO, age and CMV status. Analyze donor searches and apply current donor selection algorithms and strategies. Responsible
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programme Reference Number AE2025-0503 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0503
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 16 days ago
component to conceive novel setups and collect data to compare with simulations. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09688 Requirements Skills/Qualifications
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation