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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
Science’s Electron Microscope and Image Analysis Center (EMIAC). To find out more about the Department of Biology, please visit https://www.csusb.edu/biology For more information regarding the position
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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university, and represent the lab at conferences · Contribute to manuscript writing, data analysis, and broader lab management Work Location: Onsite – this role is expected to work onsite and is
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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of various components of viral proteins and cellular cryoET structures of virally infected cells. Build atomic models and Alphafold models to the resulting 3D structures of these complexes and tomograms
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seek an eligible Technician to work on a full-time basis. The laboratories use advanced techniques in mouse genetics, 3D organoid culture systems generated from human samples and mouse tissue as
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. The fellowship is due to start in July 2026. . WORK PLAN: The candidate must complete a PhD in accordance with the following plan: A. Development and optimisation of a 3D printer incorporating plasma technology
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related discipline. Extensive knowledge of osteology and paleopathology. Experience in conducting research on human skeletal remains using 3D methods. Experience in data analysis using the R programming
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. Physicochemical characterization of nanoparticles using techniques such as DLS, zeta-potential analysis, UV–Vis spectroscopy, fluorescence spectroscopy, and related analytical methods. Preparation of samples