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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Hiring Range Based on NIH Scale Proposed Start Date 10/19/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching
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Computer Science, Robotics, Systems Engineering, Electrical and Computer Engineering, Mechanical Engineering, Chemical Engineering, Materials Science & Engineering, Chemistry, or a related quantitative scientific
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
Table 23 . A reasonable estimate for this position is $71,491-$85,736. Application Window Open date: September 16, 2026 Next review date: Friday, Oct 16, 2026 at 11:59pm (Pacific Time) Apply by this date
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strategies for estimating archaeological potential, that capture distinct criteria including scientific yield and cost effectiveness. These strategies will then be tested in real field settings (e.g. Turkey
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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communication protocols. Design and commission robotic sample transfer between processing, characterization, and testing stations. Develop and test AI/ML-based methods for control, scheduling, and error recovery
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what you are going to do Design and build flow setups using 3D printer, pumps, valves operated by a computer and the corresponding software Develop flow cells to connect various spectroscopic tools
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 2 hours ago
research institute. HITS conducts basic research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the
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innovative statistical methods. The main focus will be on methods for sample size estimation and reliability for functional data. More applied projects aimed at improving the understanding of movement data may
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, Python, R, or comparable platforms). Solid background in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills