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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 minutes ago
Ph.D. in a relevant field and have experience in space mission design, trajectory optimization, and the application of machine learning. Field of Science: Technology Development Advisors: Rodney Anderson
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of cells. These data will then be used to validate our state-of-the-art techniques to predict the arrangements of cells in biological tissues, building on the CONDOR simulation technique (Hague, J. P. et al
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. Sci. 24, (2020). (3) Borbély, A., Aoufi, A. & Becht, D. X-ray methods for strain energy evaluation of dislocated crystals. J. Appl. Cryst. 56, 254 (2023). The recruited person will be part of the ANR
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 minutes ago
validation. Methods & Data Engineering Design generalizable, well-documented pipelines for data fusion and modeling using established geospatial and scientific-computing tools. Apply robust statistical and
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– the team of Dr. T. Kamiński, an expert in microfluidics • Jagiellonian University – the team of Prof. J. Dulak, an expert in endothelial cell biology Why join us? ✅ International environment – a young
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strong interest in developing new, rapid, and efficient methods for protein functionalization with CS, as a complement to current enzymatic or metabolic engineering approaches, which are generally limited
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partners and local teams at Duke's Microbiome Center, Department of Molecular Genetics & Microbiology, and Department of Biomedical Engineering Partnership with nearby research groups at UNC Chapel Hill and
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embedded within the Autonomous Multi-Robots Lab in the Department of Cognitive Robotics at TU Delft. The goal of the Autonomous Multi-Robots Laboratory at the Delft University of Technology is to develop
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Duke University, Mechanical Engineering and Materials Science Position ID: Duke -MEMS -PDAQUINO [#30494] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27701
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Technol. 11, 2300460, 2023. [9] T. Huesgen, Printed circuit board embedded power semiconductors: A technology review, Power Electronic Devices and Components 3, 100017, 2022. [10] D. J. Kearney, S. Kicin, E