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manufacturable than the current approaches. There will be collaborative relationships and interfacing with external commercial foundries and partners that will be integral to this role as well. In
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. As an organization, we have exciting opportunities to be forward-thinking leaders in our field. We want talented individuals to join us, examine our current operations, and create innovative solutions
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submit the following materials electronically: • A cover letter of intent stating how applicant would use the year to further his/her research and scholarly publication (not to exceed 5 pages) • A current
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. • Collaborate with lab members and contribute to manuscripts, reports, and research documentation. • Maintain accurate lab notes and remain current on emerging techniques and commercial reagents. Requirements
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will co-design and lead an interdisciplinary project to (i) quantify the current extent of forest conversion and its impact on key hydrologic dynamics like evapotranspiration and streamflow; (ii) develop
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, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and
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lab members, and collaborate with colleagues across the Duke research community. Required Qualifications at this Level Education/Training: PhD in Physics, Electrical/Computer Engineering/Quantum
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range for this position based on the current NIH stipends. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate 's work experience
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filled. Applicants should submit their current CV, a list of publications (separate from the CV), a research statement (3-page maximum) describing past accomplishments and research goals, and arrange
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning