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related areas. Develop new theoretical models, methodologies, and algorithms. Publish research outcomes in leading peer-reviewed journals and conferences. Prepare grant applications, technical reports, and
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. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories, to develop
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, time series analyses, latent modelling, multilevel modelling). · Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in
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program focuses on heart failure (HF) with preserved ejection fraction (HFpEF) and includes mechanistic and therapeutic studies in humans and large and small animal models of HFpEF and HF related pulmonary
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application of foundation models for fungal DNA and protein sequences. With ARS and external AI knowledge-holders, you will adapt long-context DNA language models to fungal genomes. These DNA-language models
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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. The Sun Lab uses multidisciplinary approaches, spanning microbial genetics, cell biology, immunology, high-throughput screening, omics, and in vivo models, to study host immunity to pathogens (such as
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and the African turquoise killifish to model human cardiovascular diseases, polycystic kidney disease (PKD), and cardiac aging. Our research aims to uncover the molecular and cellular mechanisms
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. Existing organ-age models have largely been developed using Western cohorts and specific proteomic platforms. Their reproducibility in Asian populations and their transferability between Olink and SomaScan
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Israel and became a successful, pioneering model and a source of inspiration. Founded by renowned Israeli Professor Uriel Reichman in 1994, RU is a non-profit modeled after the Ivy League universities