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affordance‑driven decisions. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co
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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage
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underrepresented populations, making it essential to develop AI methods that can learn from real expert practice while meeting stringent privacy, consent, and data-governance requirements. The SCEC has developed
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the sensitivity and information content of cell-free nucleic acid analysis, including ctDNA detection at very low tumor fractions and cfRNA-based readouts of tumor and host biology. A second arm applies these
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design through data work, analysis, and publication, with the goal of co-authored papers aimed at leading economics and interdisciplinary journals. Contribute to ongoing lab projects or priorities based
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, the molecular and placental mechanisms underlying its protective effects remain poorly understood. In this translational research project, Dr Yoel Sadovsky (MD, biologist) and Dr Ivana Maric (PhD, data scientist
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fairs to discuss your experiences with NETL Speaking about your experiences with NETL (expect 5-15 minutes) at information sessions Sharing invitations to NETL information sessions with students
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ability to quickly learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Bioinformatics
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in wastewater solids from roughly 150 sewersheds across more than 40 states, serving over 39 million people, and publishes the resulting data freely on a public dashboard for use by health departments
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7 Sep 2026 Job Information Organisation/Company University of Hradec Kralove Research Field Educational sciences » Education Arts Religious sciences Language sciences Literature Ethics in social