27 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "J. F" positions at Nature Careers in India
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Job Title: Associate Editor, Discover Journals (Computer Science, Cybersecurity or Networks) Location: Pune/Beijing/Shanghai/Nanjing, Hybrid working model Closing Date: Nov 6th, 2025 About the
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The Air Force Science & Technology Fellowship Program (AF STFP) provides nationally competitive fellowship awards for postdoctoral and senior scientists. Selected individuals have the unique
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can think on their feet. We are looking for a candidate with experience in computational neuroscience or neuroimaging. The responsibilities include: Handling original research papers, and working
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, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity
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make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion For more information about career
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investigating the differences and similarities in cell cycle dysregulation between different cancer types. For more information please visit https://www.barrlab.com , see this article , or contact Alexis Barr
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, multimodal sensing, 3D packaging) Alternative Computing (neuromorphic, chaos-based approaches) Apply via IISc’s portal: https://www.cense.iisc.ac.in/opportunities/ CeNSE actively encourages applications from
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or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity
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must submit online applications via the BRIC-CDFD website at http://www.cdfd.org.in. Review the full advertisement and terms before applying; visit the site for complete details. Deadline: Date
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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