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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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will have a computer science, biomedical sciences or bioengineering background, with experience of interdisciplinary research and experience of bioinformatics analyses. Alternatively, you could be
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(MBSE). Knowledge of digital engineering concepts, tools, and transformation initiatives. Skilled in utilizing Python. Minimum Qualifications Ph.D. in Systems Engineering, Computer Science, Industrial
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
16 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This is a post-doctoral position in the Sarkar laboratory in the Department of Biomedical Engineering (BME). Principal Duties
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
information and library science with leadership in data science, including computational and statistical methods, and societal applications. Home to a top ranked library and information science program, SDIS is
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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18 Apr 2026 Job Information Organisation/Company Deutsches Krebsforschungszentrum Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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and technology comprehension tools for children investigating children’s understandings and conceptualisations of computational and AI-based systems designing and empirically studying learning
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Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for exceptional researchers, with an excellent proven track record, to work at the interface of materials science