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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
of polyhydroxyalkanoate fermentation processes; • production of biomaterials (single- and multi-component) and their characterization using advanced surface and structural analysis methods; • collaboration with a PhD
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
comprehensive neurovascular research program by contributing to imaging and clinical data acquisition, anatomic and procedural labeling, and support other aspects in the design and execution of translational and
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given to applicants who are in the process of completing their PhD degree. Documentation of PhD degree completion must be provided prior to commencement of employment. Certifications/Licenses Required
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of postdoctoral experience is strongly
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of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would be able to systematically integrate biomedical/biological knowledge to improve
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab