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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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Physics, Chemistry, Material Science, Geosciences or Engineering. Demonstrated experience with synchrotron x-ray techniques such as Bragg Coherent Diffraction Imaging (BCDI), X-ray Photon Correlation
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of the Ph.D. Preferred Education and Experience Preferred Education and Experience Ph.D. in Neuroscience, Computer Science, Data Science, Engineering, Physics, Physiology, Biophysics A minimum of two first
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are contingent upon formal conferral of the Ph.D. Preferred Education and Experience Preferred Education and Experience Ph.D. in Neuroscience, Cognitive Neuroscience, Computer Science, Data Science, Engineering
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Positions Application Deadline 15 Sep 2026 - 12:00 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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-derived models. Performs CRISPR/Cas9-mediated gene knockout (KO), siRNA/shRNA-mediated knockdown (KD), and validation of engineered cell lines. Conducts the multi-omics data analysis including RNA-seq
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business hours VP Area Academic Affairs Department 00810 - Scient Comp & Imag Instit-Oper Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $60,000 to $70,000 Close
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely