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Field
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develop new directions in this area. Duties will include analyzing optical/infrared/ultraviolet data (e.g., imaging/spectroscopy/integral field spectroscopy from James Webb Space Telescope, Hubble Space
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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required, including stereotaxic implantation/injection, vagal nerve isolation, lung histology, lavage collection, cell isolation, and opto/chemogenetics and/or calcium imaging. He/she should have published
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. The candidate must have a track record of reliability and good verbal and written communication skills. This is an ideal position for a recent graduate with an PhD, MD/PhD degree in related fields, but not
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PostDoc - Advanced STEM imaging and spectroscopy in Nanoscience and Nanotechnology (RIANA Project)- ICN2 & ALBA Synchrotron Research area or group: Advanced Electron Nanoscopy Description of Group/Project
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neurophysiology techniques (opto/chemogenetics and Neuropixels recordings) who are either: 1) looking to gain experience in neurophysiology before applying for a PhD or 2) looking for their first postdoctoral role
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unified framework that can understand and generate human-like text while simultaneously processing and analyzing medical images. The model will be trained on a diverse dataset of medical images and
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated
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) quantification tools, holding back early immunogenicity risk assessment in the context of protein drug development. A clearer understanding of the rules governing T cell activation would form a paradigm shift in
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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we