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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage According to profile Selection process Please send your CV and cover letter. Website
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment
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include “Postdoc_ZinCAGE_YourSurname” in the subject line of the email. Website for additional job details https://www.usc.es/ciqus/en/news/ciqus-researcher-maria-gimenez-secures-ignicia… Work Location(s
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. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. https://liu.se/en/employee/bjofo78 https://www.nsc.liu.se/systems
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9 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » 3 D modelling Engineering » Mechanical engineering Engineering » Simulation
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. You can read about the workplace here https://liu.se/en/organisation/liu
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Associate I, Information Science Posting Number req25315 Department Information Science Department Website Link https://infosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess