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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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this search should be directed to: Dr Alessandro Fascetti at [email protected] Special Instructions to the Applicants: All applicants must be authorized to work for any U.S. employer. H-1B visa
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of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate. Qualifications Essential qualifications A
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entanglement in the photoionization of small molecules driven by extremely intense laser fields. The successful candidate will be based at Stanford University in the group of Prof. Philip H. Bucksbaum, working
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pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. This position is not eligible for sponsorship of an H-1B visa requiring consular
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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst, Ophthalmic Imaging, you'll play a
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University's background check policy. This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing
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energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems
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research methods and in managing project staff Basic knowledge of examination and testing procedures in exercise physiology and sports medicine Teaching skills/experience with e-learning IT skills (Office