13 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "P" positions at Nature Careers
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information, please visit https://www.helsinki.fi/en/hilife-institute-of-biotechnology . University of Helsinki's Biomedicum Helsinki is an elite community of over 90 research groups on the Meilahti campus
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website at https://casia.zhiye.com/4/jobs Contact Us: Dr. P Y Chen Tel: +86-10-82544657 E-mail: talent@ia.ac.cn Address: No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190 CASIA Official
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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ubiquitylation (http://www.ppu.mrc.ac.uk/). Many world-leading researchers in the field of signal transduction have trained within the MRC PPU. The major aims of the MRC PPU are to advance understanding
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling
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at :https://app.beetween.com/WeaselWeb/p/#/apply/job/hvkg5knu0u/director-of-the-electrophysiology-and-heart-modelling-institute-liryc-bordeaux-france Or by mail : recrutement@ihu-liryc.fr
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Institute - NW‐FVA) and Prof. Dr. Ewald Langer (Ecology, University of Kassel) serving as additional scientific advisors. Tasks include the analysis of the P. serotina mycobiome using ONT sequencing data
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models of species’ range dynamics. For more information please see https://bdc.univie.ac.at/ . We are currently offering a post-doc position (temporary replacement, until 30/06/2028). The successful
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-driven and contain a clear experimental component, preferably using quantitative methods, and ideally integrating both experimental and computational approaches. A significant proportion of the tasks
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capacity. A technical paper/report suitable for submission to NeurIPS Datasets & Benchmarks Track or IEEE S&P Workshops. A benchmarking toolkit supporting reproducible evaluation of smart contract security