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concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory prototyping and on-sky testing perform detailed
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candidate will work on developing and improving methods for LLM reasoning, with applications including mathematical reasoning, decision-making, and adaptation to specialized domains. The project will involve
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methods, and standard operating procedures. •Experience in disseminating research findings through reports, presentations, and grant proposals. •Mentorship experience with students and lab members. Machine
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, epidemiology or computer engineering discipline Strong software skills in at least one of the following: SAS (including macros and SQL), R, Python Experience managing large databases (preferably healthcare data
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
fusion, and medical image analysis methods to improve cancer prognosis prediction in an objective and interpretable way. Our work centers on the computational treatment of medical data in oncology, with a
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, resilient cyber infrastructure, and new methods for protecting quantum-enabled technologies. This position will help IST build research capacity and national leadership in secure and trustworthy systems
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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for executing statistical and computational research activities focused on novel methods development for processing, segmentation, and trait extraction from 3D CT images of plant roots under the mentorship and
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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning
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: develop physics-informed and physics-grounded world models that remain reliable under partial observation, where pure physics engines fall short; design methods that achieve large speed-ups in complex