429 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Nature Careers in United States
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diseases, Genome Biology, 2024 S. Hudaiberdiev et al., Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits, PNAS, 2023 S. Li et
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Biology Scientist in Single-cell omics & AI to support the valorization trajectory of a computational platform combining single‑cell omics, AI machine learning, and translational biology. The role involves
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific visionRibosome
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advanced model systems Neural circuits and systems neuroscience Full list of all 24 available projects on our website: https://oc10.meduniwien.ac.at/open-phd-positions Requirements / Skills: Master’s degree
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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
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of Biomedical Engineering (BME) is situated within https://www.lerner.ccf.org/ ). 2025, over 1,800 people (including about 235 principal investigators and 650 trainees) participate in research programs focusing
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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responses in the heart. Read more about Dr. Fang's research in ISHR award brochure: https://cdn.ymaws.com/ishrworld.org/resource/resmgr/pdf/oia_brochure_fang_2025_final.pdf ). Dr. Fang is committed
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and timelines. 4. Training & Professional Development Demonstrate eagerness to learn new techniques in imaging and large animal surgery. Develop technical proficiency under supervision of senior staff