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focuses on the Western Balkans’ medieval plurality and social worlds embodied in the stećci tombstones. The core of the project consists of five thematic objectives, which examine key questions relating
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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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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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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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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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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
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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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Fellow will work with the Soil and Plant Testing Laboratory (SPTL) and the Soil Health Assessment Center (SHAC) under the supervision of Dr. Md Rasel Parvej. The position will focus on applied research
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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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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