163 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Nature Careers
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work at the intersection of materials science, physics, and engineering, shaping the future for sustainable energy and automotive applications. The position is funded under the MSCA-COFUND scheme
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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us to better predict their future survival, improving their local-global conservation policies. In this project, we will address this by combining high-resolution micro-Computed Tomography and AI
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‑on wet‑lab and in vivo therapeutic discovery in a funded translational program Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation About the opportunity The School of Life and
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic
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Job Description A postdoctoral research associate position is available with Dr. Christoph Gorgulla. This project aims to advance computational drug discovery by developing and applying innovative
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him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants. Letter of reference If you want a referee to upload a letter of reference on
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to ongoing and related projects as needed; Contributing to the Centre’s training program by teaching workshops or tutorials in machine learning, generative models, or data science methods; Engaging with public