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may be achieved via heuristic computational methods, also termed “de novo” design methods, which may optimize toward desirable drug candidates without having to explore the complete chemical space. Via
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chemical space. This may be achieved via heuristic computational methods, also termed “de novo” design methods, which may optimize toward desirable drug candidates without having to explore the complete
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pharmaceuticals requires efficient navigation of the vast chemical space. This may be achieved via heuristic computational methods, also termed “de novo” design methods, which may optimize toward desirable drug
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received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034309. In this fifth call, open April 29 – June 10 2024, we
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). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034309. In this fifth call, open April 29 – June
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theories for understanding, developing, and designing socially aware algorithms. Successful candidates will actively contribute to research on reconciling social parameters and algorithmic efficiency, as
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designing socially aware algorithms. Successful candidates will actively contribute to research on reconciling social parameters and algorithmic efficiency, as well as the development and application
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learning is a crucial concept in the fields of machine learning and pattern recognition, because it enables the discovery and representation of underlying structures and patterns in high-dimensional data. In
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learning and pattern recognition, because it enables the discovery and representation of underlying structures and patterns in high-dimensional data. In real-world scenarios, datasets often exhibit intricate
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& Innovation. About the project/work tasks: The call is open to all types of projects within the area of investigative journalism. A possible research topic can for example be whether and how digital technology