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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
to the development of novel theoretical and computational methods as well as advanced AI techniques to accelerate simulations of biomolecular recognition and cellular signaling. The position also offers opportunities
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, signal processing and inverse modelling. The role is based at the Image X Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics
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challenges arising in circular battery value chains, where metals recovered through recycling processes may contain residual impurities that can affect precursor synthesis, particle morphology, and final
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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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research interests and address the qualifications listed above, outlining why you are the right person for this position. Also, indicate what is your earliest starting date, if you are selected
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. The successful applicant will demonstrate clear potential to become a leader in their field, with a strong research trajectory focused on computational modelling of molecular interactions and regulatory processes
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) Biochemical and biophysical characterization (e.g., binding assays, stability profiling) Cell-based GPCR signalling assays Functional validation in relevant in vitro systems Supporting in vivo pharmacological
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Signal Processing position: Completed a PhD in Electrical & Computer Engineering or a closely related discipline Expert knowledge of wireless signal processing is required Experience in wireless
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, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology Reference number: 2026-0007 The Division