899 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers
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of working with online and digitally enhanced learning Knowledge of university processes and structures What we offer: Work-life balance: Our employees enjoy felxible working hours, remote work (upon agreement
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Life. When you work at St. Jude, you'll join a highly collaborative work culture that inspires you every day to be your best. With opportunities for learning and growth, you can shape a career path that
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models (e.g., deep learning, reinforcement learning, probabilistic graphical models) for applications in genomic prediction, GWAS, GS, gene-editing target discovery, and multi-trait selection. Conduct
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often struggle with domain shift, limited generalization, and the gap between simulation and deployment. These challenges motivate the development of advanced spatio-temporal learning frameworks that can
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receive a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition assistance, dependent care assistance, moving allowance, an employer-contributed
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maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced data science
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Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed, state-of-the-art laboratories and growth facilities, core scientific and operational support
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Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed, state-of-the-art laboratories and
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computational methods. For Area A: evidence of assay-algorithm co‑design in RNA/CRISPR/single‑cell/spatial/metabolomics. For Area B: experience with foundation models, multimodal learning, clinical NLP, and
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PI or MPI on significant awards (e.g., R01, P01, U54) Demonstrated ability to teach and mentor in a research-intensive environment Preferred Qualifications For Early Career Assistant Professor Rank