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questions, advancing deep learning models, or other topics discussed with the PI. We use publicly available and simulated genomic data. Core job duties include: (1) Building computational pipelines
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research overlap with current IUB scholars while also offering new dimensions that will expand and strengthen the Luddy School’s research program. These 10‐month appointments would ideally start August 1
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management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls, hospitalization, and cognitive decline; Natural Language Processing (NLP) for remote cognitive assessment; image
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MALDI-TOF characterization Cancer immunology Tumor immunology Vaccine development Immune checkpoint biology Mouse models of cancer Flow cytometry ELISA and antibody characterization Cell culture and
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assistants, and large language models. Areas of interest for possible collaborations include but are not limited to: topological data analysis and topological machine learning; AI-assisted theorem proving
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supportive oncology. · Strengthen research infrastructure, including team-science models, data resources, patient-reported outcomes, pragmatic trials, and learning health system approaches. · Represent
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. Current research areas include: hadronic amplitude analysis and scattering theory, heavy-ion collisions and the properties of hot QCD matter, hadronic probes of beyond-the-Standard-Model physics, and formal
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no weekend call. • Flexible work model with both on-site and remote reading options. • This position is eligible for a signing bonus up to $100,000! • Comprehensive benefits package through Indiana University
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tissue-specific mutant mouse models to investigate the underlying mechanisms controlling muscle growth and metabolic flux. The projects are multidisciplinary with excellent opportunities for advanced
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tissue-specific mutant mouse models to investigate the underlying mechanisms controlling muscle growth and metabolic flux. The projects are multidisciplinary with excellent opportunities for advanced