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: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas at Pine Bluff The University of Arkansas at Pine Bluff is an 1890 Land-Grant HBCU with a diverse student
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of planetary atmospheres through transit spectroscopy. The successful applicant will work with the team to process supporting ground-based photometric light curve data and assist in the determination
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Performance Psychology. The Exercise Science program has an enrollment of 340 undergraduate and 10-15 graduate students. Additional information on Minnesota State University, Mankato can be found at: https
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cancers. Built from a solid foundation of translational research in solid and hematologic malignancies, our group includes strong research programs in cell therapy (TCR/CAR) and transplant immunotherapy and
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Max Planck Institute for Chemical Physics of Solids • | Dresden, Sachsen | Germany | about 19 hours ago
the University of St Andrews in Scotland. By working together, we create a highly attractive overall package of PhD level research on solid-state chemistry and condensed matter physics. In
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for the identification of floating material (plastic and wood) 2. Creation of ground truth for satellite data 3. Development of geomorphological process indicators from satellite classifications 4. Analysis of data
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18 Mar 2026 Job Information Organisation/Company Johannes Kepler University Department Solid State Physics Division Research Field Physics Researcher Profile First Stage Researcher (R1) Positions
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Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent
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systems. City: Piscataway State: NJ Equipment Utilized: Office programs, including AutoDesk, AutoCAD, ESRI ArcGIS, Matlab Adobe Design Suite, Microsoft Excel, PowerPoint, Word, and Outlook. Physical Demands
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Jaguar Land Rover, this research proposes the Ring Probabilistic Logic Neural Network (RPLNN). Unlike opaque deep learning models, the RPLNN fuses neural computation with probabilistic logic rules within a