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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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to study health and disease. Accordingly, almost all of contemporary biological science research is critically dependent on our ability to identify which genes are related in different species. The Kelly
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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transporter inhibitors (SGLT2i) regulate inflammation and fibrosis using different in vitro models of human kidney disease. We are seeking a skilled Post-Doctoral Research Associate to join the Renal Team