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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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advanced image processing and segmentation methods – computational and statistical analysis of large-scale neuronal activity datasets • Very good programming skills in Python (mandatory). • Teaching
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, workstation capacity for geophysical and remote sensing data interpretation and GIS; 2D multi-scale petrographical imaging and 3D-4D X-ray CT imaging facilities and a wide range of world leading experimental
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-cell genomics, imaging, and molecular biology to uncover the spatial organization of genes in plants, with a core objective of unraveling the communication mechanisms within plant cells. The successful
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Bioinformatics / Science Cognitive Science Quantum Machine Learning Computational Science and Engineering / Natural Language Processing Artificial Intelligence / Intelligent Systems and Applications Data
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consistency and update visual assets. Image Editing: Edit and enhance photos for digital and print use. Concept Development: Contribute to brainstorming and idea generation. Collaboration: Work closely with
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Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination Because we want you to feel seen and valued, our recruitment process at UC Davis supports openness and
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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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, troubleshooting, and basic project management. Experience with Active Directory groups and user access. Knowledge of Endpoint Life Cycle Management with experience in using Intune and JAMF to image, deploy, and
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab