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(correlation, Cohen's kappa, confusion matrices) Identify systematic rating discrepancies and refine prompts/algorithms Implement confidence scoring to flag uncertain AI judgments Conduct bias audits across
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available for 3-years to work with Professor Florian Hollfelder at the Biochemistry Department of Cambridge University (https://hollfelder.bioc.cam.ac.uk/ ). The project is part of the Horizon Europe Eu Marie
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Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
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, optimisation algorithms and renewable energy systems WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option for flexible working
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and tomographic radar capabilities. Our team is responsible for the algorithms which derive the biomass data product. The post-doc project is about extending the biomass algorithm to also include data
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-loss events undermine statistical confidence. The aim is to develop i) edge intelligence (on-turbine smart algorithms for data preprocessing), ii) resilient data movement (error-tolerant, cybersecure
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test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills. Where to apply Website https
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. The PhD candidate will join the team Methods and Algorithms for Bioinformatics (MAB). - Supervision: - Dr Eric Rivals, HdR, (LIRMM), CNRS Research Director in computer science and bioinformatics (web https
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Engineer in Underwater Perception, you play a pivotal role in shaping the future of energy-efficient AI algorithms for underwater perception. What you will do Identify research and technology gaps
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la stabilité des algorithmes et à l'efficacité computationnelle. Une partie de la thèse sera également consacrée à des travaux expérimentaux visant à caractériser le comportement mécanique de systèmes