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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
experiments, optimize protocols, document procedures and results, collate and analyze data, and communicate results and conclusions in written and oral formats. They will have the opportunity to train and
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to BSc and Master’s courses. Contribute to the supervision of MSc and PhD students, as requested and appropriate. Qualifications Applicants must have a PhD in bioinformatics, genomic epidemiology, data
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. Academic research You conduct innovative and internationally recognized research in the field of comparative oncology. You will supervise PhD candidates and master’s thesis students in their research
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on existing 1550 nm sensor designs, investigating low-noise and low-heat amplifier and digitizer architectures, performing state-of-the-art front-end simulations, and producing optimized readout PCBs
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. Contribute to BSc and Master’s courses. Contribute to the supervision of MSc and PhD students, as requested and appropriate. Qualifications Applicants must have a PhD in bioinformatics, genomic epidemiology
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properties of the input data. It is often observed that algorithms with optimal running times include a preprocessing step consisting of equipping the input with additional structure. In graph algorithms
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quantum science and -technology, with particular focus on theoretical and computational approaches. Relevant research background includes, but is not limited to, quantum algorithms, quantum optimization
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, transformations, modeling, prediction, forecasting, optimization, data-driven decision-making, data visualization, data storytelling, and related subjects, as well as the relevant tools and technologies
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porous materials using green supercritical fluid technologies. The position (TV‑L E13) offers the opportunity to pursue a PhD, access to state‑of‑the‑art research infrastructure, and close collaboration
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volumetric bioprinting to deposit functional layers inside the stent lumen, as well as computational simulations and perfusion bioreactor systems to optimize design and performance. The final goal is to