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Report and Rankings. We have a thriving body of 42 faculty, 9 postdocs, 273 students, and 123 research and administrative staff members and close ties with the Department of Statistics, the Institute
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and MALDI/ESI, and lignin composition using TDA/GCMS. The postdoc will work closely with teams developing engineered plants to develop a deeper understanding of cell wall architecture. This is expected
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
hours per week Work Schedule Monday thru Friday Pay Rate Minimum Experience/Education This position requires a PhD in Biology, Genomics, Computer Science, or a similar field. The postdoc will report to
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performance. The postdoc will apply their skills and expertise to develop tools to bridge this gap and solve our most cutting-edge drug delivery challenges. Responsibilities Generate new research strategies
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, imaging, or relevant area is essential. The post is offered on a full time (36.25 hours per week), fixed term contract until 31 December 2025. Requests for secondment from internal candidates may be
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postdoctoral fellows to perform cutting-edge research in AI for radiation therapy. Research areas include developing and implementing AI techniques for image-guided radiation therapy, such as image
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. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form
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This new full-time post is available from September 2025 until 31/08/2026 on a fixed-term basis. Summary of the role This role is an exciting opportunity to join the Neurodegeneration Imaging Group
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systems design and fabrication Advanced microscopy skills (fluorescence, confocal, live-cell imaging) Molecular biology techniques, including: Gene expression analysis (qRT-PCR) Protein analysis (Western
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, uncovering novel cellular mechanisms. We employ state-of-the-art techniques in fly neurogenetics, proteomics, molecular biology, RNA biology, multi-omics, and quantitative imaging to investigate circadian