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interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
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diet plan for people based on individual differences, such as genetics and metabolism. The Clinical Research Coordinator 2 compiles, documents, analyzes, and reports on clinical research data. Provides
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limited to, quantum algorithms and simulation, quantum error correction, open quantum systems, quantum computing, quantum communication, quantum sensing, and quantum tomography. In accordance with USCIS
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on their first visit, need diagnostics and additional visits such as genetics. This is identified prior to the patient coming for the first time. Thiswork must occur in a stepwise fashion to ensure smooth
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at the leading edge of scientific discovery and will therefore require methodological work, algorithm development, and technical developments. The ideal candidate will be proficient in R and/or Python, have strong
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with opportunities to make a meaningful difference at Cornell and beyond. Our success is built on the strength of relationships, a commitment to excellence, and a culture of collaboration, innovation
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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, genetics, immunology, and social sciences to develop evidence-based, personalized donation strategies. Within this multidisciplinary project, you will play a central role in the work package focusing
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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have strengths in CS education, CS theory, data science, algorithms, artificial intelligence, games, and security and privacy. The positions are for the 2026-2027 academic year and begin on September 1