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departments. This role offers the opportunity to advance AI applications, machine learning, and data analytics to elevate biomedical research, innovate clinical research, and develop next-generation graduate
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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software related to the medical field Experience of specific software and programming languages, specifically ones suitable for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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not only to innovative research and the highest standard of teaching, but also to creating an inclusive and supportive working environment. Overview of the role: We are seeking a Postdoctoral Research
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 30 days ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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Project Overview We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI
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have a shared purpose of translating our passion for chemistry to young scholars at all levels in many scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models