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and Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural
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join our team. DHVI is an interdisciplinary, interdepartmental institute dedicated to the study of basic and translational science required to understand host-pathogen interactions that can be translated
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interest to drive the project longer into a start-up phase. Your task: • Implement technology advances regarding laser diodes and chips in interaction with the respective researchers and implementing
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of Excellence “Balance of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche
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collegial Department (29 faculty) that nucleates a larger interactive community (nearly 100 faculty). We support an exceptional Graduate Training Program, host two training grants, a robust weekly seminar
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-of-the-art facilities at Adelaide Microscopy, including multiple transmission electron microscopes (TEM) such as a Glacios 200 kV Cryo-TEM. Additionally, resources available include the Phoenix high
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Department: Department of English and American Studies – Faculty of Arts Deadline: 7 Sep 2025 Start date: 1. 1. 2026 Job type: full-time Job field: Science and research Dean of the Faculty of Arts
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Department: RE:CENT Center for Medieval Visual Cultures and Research Communication – Faculty of Arts Deadline: 30 Jun 2025 Start date: by agreement but not before 01. 09. 2025 Job type: full-time
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of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer’s disease or Parkinson’s disease. The candidate will use state-of-the-art in silico protein structure prediction