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catalysts for the synthesis of a range of industrially valuable compounds. This PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 18 days ago
Essential qualifications: Advanced degree (Master's or PhD) in Computer Science, AI, Machine Learning, or related field Demonstrated expertise in large-scale generative AI systems (inference and training
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considered for this role, you should have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong
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large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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community! The position This position will develop and maintain data-processing pipelines for large-scale neuronal and behavioral datasets, including multi-day high-frequency recordings, fluorescence
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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qualifications PhD in Microbiology, Computational Biology, Genomics, Systems Biology, Statistics, Machine Learning or related discipline Publication record in Microbiology, Metagenomics, Metabolic/Statistical
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Engineering » Computer engineering Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 3 Feb 2026 - 23:59 (Europe/Oslo
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, researchers and other staff. Experience with streaming infrastructure (e.g., Apache Kafka, ActiveMQ), real-time data processing frameworks (such as Apache Flink or Spark Streaming), and machine learning is