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chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https://www.compchem.lu.se
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application through the online system (https://www.dcu.ie/people/jobs ) #003331. In order to be considered for the role to which you are applying for, you must upload: 1) Curriculum Vitae 2) Cover Letter 3
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science and is a supporter of the LMS Good Practice Scheme; for more details of our activities relating to Social Responsibility see http://www.maths.manchester.ac.uk/connect/social-responsibility/. This is
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one or more of: computational modeling of social learning, norms, or moral cognition; cultural evolution and gene-culture coevolution; evolutionary game theory and the evolution of cooperation
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computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
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sovereignty; - assess the benefits of adopting different Cloud models across B2B and B2C sectors; - explore the organizational aspects associated with Cloud transformation; - support the Digital Innovation
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the following objectives: - to map the main types and configurations of B2B Digital Commerce adopted by companies, analyzing operational models, areas of application across different supply chains, and
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The International Startup Ecosystem and the Evolution of Open Innovation Practices - 2026_IDR_DIG_28
models, and growth trajectories of startups in selected fields; - to study the forms of collaboration between established companies and startups within Open Innovation initiatives. Where to apply Website
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Posting Information Posting Details Department School of Data Sci and Society - 397100 Posting Open Date 04/13/2026 Application Deadline 06/15/2026 Open Until Filled No Position Type Postdoctoral
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Background/Motivation: Models that can recognise human skin, body parts, or scenes are often used to detect erotic and pornographic material. With the help of appropriate datasets [1