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employment – E 13 TV-L HU (third party funding limited to 31.12.2028) Your responsibilities scientific services in research within the Einstein foundation Project especially in the field of algebraic geometry
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fellow (m/f/d) in the field of Molecular Microbiology, with 50 % part-time employment – E 13 TV-L HU (third-party funding limited until 29.06.2027; increase in working hours by a further 50 % for
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cultural, demographic, and social diversity, specifically gender diversity. All of this enhances the quality of research and contribute to excellence. Where to apply Website https://www.nanociencia.imdea.org
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profiling, alongside detailed digital phenotyping (wearables, speech AI) and NHS medical record linkage. This is a four-nation partnership and this PDRA post will be based in Belfast. This role will be based
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play a critical role in bringing together sensor dies, packaging, optoelectronic systems integration, calibration, and signal-processing workflows to produce robust, field-ready demonstrators. The role
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 hours ago
backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion Application information In order to apply for this role please
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Farming, 1570–1992” (2026-2031)” Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER Eligibility
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that are required to drive a Columbus State University fleet vehicle or other vehicle designated as a fleet vehicle. A successful drug screening will be required as a condition of employment a randomly thereafter
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Vehicles for therapeutic and preventive vaccines against triplenegative breast cancer associated with Evolutionary BRCA mutations” Where to apply Website https://www.unimib.it/lavora-noi/contratti-ricerca
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for Biological Cybernetics. The successful candidate will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive