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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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position, funded by ALRI, offers an initial one-year appointment, with renewal contingent upon availability of funding. Conducts cutting-edge research in artificial intelligence, machine learning, and data
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status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status . Minimum Number of References Required 3 Maximum Number of References
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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Recognised Researcher (R2) Positions Postdoc Positions Country Estonia Application Deadline 28 Sep 2025 - 23:59 (Europe/Tallinn) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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work that underpins the scientific research of the collaboration. Research Title: Coupling Computation and Machine Learning to evaluate PFAS Chemicals The work will entail: The position is for a
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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires
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sequencing, proteomics, and metabolomics; interpretation of datasets and clinical data using advanced statistical methods and machine learning algorithms to identify correlations between molecular alterations
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cost and improve operational efficiency) Carry out hands on experiments with 3D printing machines Support to develop journal and conference articles Coordinate and organise activities related