104 big-data-and-machine-learning-phd Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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with healthcare data is welcome but not required. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets
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infections using electronic phenotyping, supervised machine learning, live Epic/FHIR implementations for silent deployment, and multi-site data coordination. https://reporter.nih.gov/search
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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to solve biomedical problems, or a PhD in biomedical sciences with a strong interest to apply AI and machine learning approaches. With our strong commitment to translating research findings to actionable
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25 Sep 2025 Job Information Organisation/Company International Institute of Molecular and Cell Biology in Warsaw Department Laboratory of Zebrafish Developmental Genomics Research Field Biological
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computer or data science with applications to engineering, or a Ph.D. in engineering with experience in AI, machine learning, and/or LLMs). A strong passion for research, along with a proven record of
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for healthcare. The Alsentzer Lab is an interdisciplinary research group in the Department of Biomedical Data Science at Stanford University. Our mission is to leverage machine learning (ML) and natural
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survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis. Required Qualifications: We seek
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a unique opportunity to work in a cutting-edge, interdisciplinary environment, leveraging a novel in-vitro model of the human uterus and/or cutting edges machine learning techniques to make
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collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale quantitative survey datasets using R (preferred) and Stata or other packages