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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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intelligence algorithms). Work in a BSL-3 facility is essential to the work of the lab and includes but is not limited to experimentation with the pathogenic bacterium Mycobacterium tuberculosis. BSL-3 work
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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language of this project is English, and the candidate should be proficient in written and spoken English (also at teaching level). Requirements are listed here: https://set.kuleuven.be/phd/applicants
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 11 hours ago
are stored or sent over the network. However, this is a difficult problem in general since meaningful information for the global simulation depends on the other nodes' output. The goal of this PhD is to
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real-world challenges faced by industry, governments, and society within the international STRUCTURE project? Information The PhD candidate will work within the international research project STRUCTURE
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your application … Where to apply Website https://www.academictransfer.com/en/jobs/359397/phd-position-advanced-predictiv… Requirements Additional Information Website for additional job details https
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… Where to apply Website https://www.academictransfer.com/en/jobs/359399/phd-position-in-high-performanc… Requirements Additional Information Website for additional job details https
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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recovery conditions in inverse problems with sparsity constraints and to design algorithms that leverage these conditions [1]. This PhD topic investigates this framework in the context of observing