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and operations in the following areas: Soil & Groundwater; Deactivation & Decommissioning; Tank Waste; Robotics; Machine Learning; Artificial Intelligence; Cybersecurity; and Advanced Manufacturing
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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written English skills (B2 level or equivalent, certified), ability to read, understand, and write in scientific English. 7. Knowledge and ability to operate computer software. 8. Analytical thinking
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Experience in plant breeding for resistance to biotic and/or abiotic stresses, programming, machine learning, and genomic data analysis. Desirable requirements 1. Cost-effectiveness assessment: rapid
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experience working safely with dangerous materials. Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/279384 Campus Rutgers
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
in which individuals are enrolled into prospective observational or intervention studies that seek to better understand and prevent posttraumatic neuropsychiatric sequelae (https://www.med.unc.edu/itr
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Paravision Micro-CT, optical imaging, photoacoustic imaging, PET, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming
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genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing
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the success of our students and the quality of our intellectual contributions to society. For additional information, see http://biology.unt.edu. UNT has a highly diverse campus with a wide range of languages
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific