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3d colloidal model system. Background information: https://paddyroyall.github.io/padrus/Work_amoeba.html Publications of interest : https://paddyroyall.github.io/padrus/Publications.html Systems in
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» Electronic engineeringEducation LevelPhD or equivalent Skills/Qualifications The Candidate should demonstrate knowledge and practical experience in visual systems, image processing and analysis, as
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the performance and user experience of the proposed 3D interaction on users. Funding category: Financement de l'Union européenne Projet Advhandture PHD Country: France Where to apply Website https://www.abg.asso.fr
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to create analysis‑ready, topology‑correct 3D city models from multi‑modal geospatial data. The position is hosted at the Department of Mathematical Sciences at Chalmers University of Technology and the
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Deciphering Streptococcus dysgalactiae subsp. equisimilis Population Genomics and Host-Pathogen Interactions using Advanced 3D Tissue Engineered Infection Models School of Biosciences PhD Research
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 1 day ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field
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: (1) epigenetic analysis in a mouse models of Parkinson’s disease related exposures, (2) elucidating molecular mechanisms of pesticide-induced changes in DNA methylation in a 3D neurosphere model in
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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu
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described in the requirements for this position. Specialised training in virtual anatomical reconstruction, medical image processing and geometric morphometrics will be valued. Courses in 3D analysis software
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of field measurements with 3D Doppler-LIDAR and ultrasonic anemometers, high-fidelity CFD simulations, and controlled experiments. AI-supported methods for spatiotemporal prediction of microclimatic