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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
, entitled Center for Multi-scale Multi-Omic Human and Non-human Primate Atlas. The primary responsibilities of the postdoctoral associate are to independently conduct experiments and optimize various
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Denmark and focuses on the development of chemical probes for a brain relevant kinase. The successful candidate will join the Frølund group, and the position offers a dynamic and multi-disciplinary project
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developers of Jarvis . Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform feature engineering using
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Ref.: 534646 Work type: Full-time Department: The Hong Kong Jockey Club Centre for Suicide Research and Prevention (30002) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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Dr. Young, collaborators, and doctoral and undergraduate students on two projects. The first study is Policies Influencing Rural Latino Health (PIRLH) Study, a multi-level population-based study of
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operating conditions. Project description This position is also closely related to the Vinnova competence Centre for III-nitride technology, C3NiT (c3nit.se). The project involves designing advanced circuits
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rich molecular cargo, which is characterised using multi-omics approaches to identify biomarkers at the transcriptomic, proteomic, and lipidomic levels. The project comprises several steps, including
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research will involve synergetic collaborations with a multi-disciplinary team involving engine modelers, CFD experts, and computational scientists to enhance the predictive capability for next-generation