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Field
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Strong programming expertise in Python and experience with frameworks such as PyTorch, Hugging Face Transformers, or equivalent tools Demonstrated ability to develop scalable, automated, and reproducible
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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control and related). Experience with experimental methods and data acquisition systems like LabView or similar systems will be beneficial Strong, proven programming skills in Python. Proficient in written
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programming ability in Python, and practical experience with a modern deep learning framework such as PyTorch. Experience working with 3D data in some form: volumetric images, meshes, point clouds, or geometric
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spintronics, or cavity spintronics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS). Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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-omic data integration. Computational skills for data analysis (e.g., Python/R, workflow tools, and reproducible research practices). Prior work related to neurodevelopmental disorders, regulatory
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of experience within the field. Scientific and numerical programming in Python or R and knowledge of class ML methods and deep learning methods. Well versed in a variety of bioinformatic analyses, including Next
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry out independent research and to work effectively in a collaborative team. Strong written and oral