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The Gulf Research Program’s Science Policy Fellowship program helps scientists hone their skills by putting them to practice for the benefit of Gulf Coast communities and ecosystems. Fellows gain
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and future directions within the field of human-computer interaction with a strong overview of how machine learning and/or probabilistic modelling/active inference can be integrated in it. A3 Evidenced
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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couples’ housing trajectories in the UK and to project future homeownership rates. The successful applicant will have a PhD in a social science discipline (including statistics, computer science and applied
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., MRI, EEG, and health records). Background in computational modeling and machine learning. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre
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Strong analytical skills and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Excellent communication skills and proven ability to collaborate
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, vision, prescription) Flexible spending accounts & wellness programs Professional development & mentorship opportunities To learn more about why UC is a great place to work, please visit our careers page
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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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for applying for the position. The names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV Transcripts and diplomas. If you have not yet completed your