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. [4] Sivakumar et al., Phys. Rev. B 111, 075409 (2025), Influence of surface relaxations on scanning probe microscopy images of the charge density wave material 2H-NbSe2. [5] B. Kiraly et al., Nano Lett
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
interpretable artificial intelligence to improve prediction accuracy while ensuring biological interpretability. The candidate will contribute to building computational frameworks that integrate diverse imaging
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facilitated by the availability of a high-power axial-feed capable plasma spray system and a high velocity air-fuel facility. These lend a rare uniqueness and versatility to the group’s processing capabilities
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RESEARCH INSTITUTE DR. JOSEP TRUETA (IDIBGI) opens the selection process to cover one job position to be part of the Translational research group in cardiovascular respiratory diseases (CAREs), led by Dr
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-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease â, Acta Neuropathol Commun, 2023 PMID: 37101235 Working Conditions: This position works in a laboratory environment with
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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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in medical image processing, registration and analysis and a long-term interest to work in the health care sector. If you are interested in this position please contact: Dr. Allison Payne
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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genetic analyses of amyloid imaging identify new genes for Alzheimer disease ”, Acta Neuropathol Commun, 2023 PMID: 37101235 Working Conditions: This position works in a laboratory environment with
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
contribution to our focus project of realizing online-adaptive proton therapy, enabled by an AI driven, fully automatized feedback loop of imaging, PGI-based treatment verification and fast adaptation. Therefore