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Field
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image processing skills are considered an important asset for this Ph.D. position Familiarity with programming languages is desired, e.g., in MATLAB and/or Python; and basic experience in collaborative
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translational imaging research program that integrates quantitative MRI, artificial intelligence, and longitudinal clinical data to improve surgical planning, outcome prediction, and disease characterization
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the development of tools to improve end-user education and detection of social engineering attempts generated by AI systems, including emails, voice messages, online websites, and images, as well as methods
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on the implications of our findings. Qualified individuals will have a strong aptitude to reformulate open questions; devise creative solutions; deliver concise, rigorous prototype implementations; and clearly
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on the implications of our findings. Qualified individuals will have a strong aptitude to reformulate open questions; devise creative solutions; deliver concise, rigorous prototype implementations; and clearly
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science and engineering. The faculty engage in fundamental and applied research and education in lasers, optical fibers, semiconductor and integrated photonic devices, nonlinear and quantum optics, imaging
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microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution of semiparacrystalline (SPC) morphology with device
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for biomaterial testing. Hands-on experience with immunohistochemistry or fluorescence imaging for tissue analysis. Selection process for the position: The application must include the following: CV in English
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this announcement extends these strengths toward an integrated research program on the neural circuitry of craving, reward, and addiction. This work is anchored by an NIH-funded Imaging & Behavioral Neuroscience Core
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/Qualifications Eligibility requirements: medical diploma, the right to practice the profession of a doctor, scientific degree of doctor of medical sciences, specialization in radiology and imaging diagnostics