623 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" Postdoctoral positions in United States
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(e.g. Docker, Singularity) is desirable. Solid understanding of software development best practices (version control, testing, documentation). Mentoring Skills: Proven ability to mentor and teach others
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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their own research projects under the departments’ guidance and mentorship. The selected candidate will be appointed for a two-year period and will teach three to four courses per year (graduate and
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or equivalent. Knowledge and experience with analytical techniques such as XRD and SEM. Skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling
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to analytical techniques for characterizing electrolytes using UV-VIs absorption spectroscopy, ICP-MS, LC-MS, GC-MS, and ICP-MS. This position will include learning experimental workflows and adapting them
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or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s
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are seeking applications from individuals with a PhD in any one area of engineering such as: aerospace, chemical, civil and environmental, computer science and software, electrical and computer, industrial and
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of History, College of Arts and Sciences of Drexel University. The fellow will develop original research and advance undergraduate experiential learning around selected topics in the environmental humanities
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information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or