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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Vacancy ID: PDS004919 Position Summary/Description: The successful candidate will perform research on the development, modification, characterization, and testing of granular sorbent-based separation
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for developing novel diagnostic, imaging, and therapeutic strategies. Our program uses peptide- and antibody-based combinatorial library selection to discover, validate, and exploit the vascular biochemical
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community-level adaptation. The successful candidate will contribute to all stages of the ethnographic research process: developing rapport and access with community and business partners, conducting semi
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”. The primary objective of this post-doctoral project is to inform public policy decisions regarding rare diseases by enhancing the understanding and effectiveness of the software developed. Employing an approach
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for scientific and personal development through courses, workshops, mentoring, and collaborations. Where to apply Website https://www.academictransfer.com/en/jobs/362833/postdoc_vici_fusi/apply/ Requirements
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make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. Empa’s Centre for X-ray Analytics develops X-ray analytical and
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postdoctoral position in the field of mid-infrared photonics and functional optical materials. The project focuses on the development of low-phonon-energy rare-earth-doped materials for compact mid-infrared
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Number: 13610 School: Faculty of Arts and Sciences Position Description: Applicants are now being considered for a postdoctoral position in the Gozzi Lab at the Rowland Institute at Harvard (https
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Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/ ) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help
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translational oncology research group at Radboudumc, Nijmegen. Our group is committed to developing accurate, data-driven decision support tools for precision immuno-oncology, tailored to individual patients with