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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 2 months ago
history experiences, and honors/awards A current resume/CV, including academic history, employment history, relevant experiences, and publication list Two educational or professional recommendations You
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 hours ago
history experiences, and honors/awards A current resume/CV, including academic history, employment history, relevant experiences, and publication list Two educational or professional recommendations You
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- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in Neuroscience
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cost-effective and environmentally friendly Tusker Car Benefit Scheme, allowing you to lease a brand-new electric or hybrid vehicle with savings on tax and National Insurance. • We have a genuine
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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/Resume. Required Education and Experience PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Strong publication record in top-tier AI
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, a cycle to work scheme which helps you to buy a bike and discount with local bus and train companies. You can also take advantage of our cost-effective and environmentally friendly Tusker Car Benefit
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candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science, with no more than five years post receipt of the PhD
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range for this position. Individual placement within the range is based on the candidate’s current experience, education, skills, and abilities related to the position. This is a full-time (100% FTE
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data