602 electronics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Program Description Overview The IAS School of Mathematics welcomes applications from mathematicians and theoretical computer scientists at all career levels, and mid-career scientists (5-15 years
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision, evidenced by publications, preprints, or a public code record. Strong
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: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders
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engineering, or a closely related field, in hand by the date of appointment. ● Research experience performing first-principles electronic structure or density functional theory calculations using
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be considered for employment. If you have trouble applying for a position, please email [email protected]. ORNL is an equal opportunity employer. All qualified applicants, including individuals
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difficulty using the online application system or need an accommodation to apply due to a disability, please email: [email protected]. #LI-DC1 This position will remain open for a minimum of 5 days after
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have trouble applying for a position, please email [email protected]. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans
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start date. ● Experience with cryogenic electron tomography. ● Experience with soft x-ray tomography. ● Experience with molecular biology techniques. Preferred Qualifications: ● Experience
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Required License/Registration/Certification NA Physical Requirements Present in a classroom; regular use of computer Shift Per course schedule Job Summary The School of Information Science (SIS) in