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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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Details Title Postdoctoral Fellow Murthy Lab School Faculty of Arts and Sciences Department/Area Molecular and Cellular Biology Position Description A postdoctoral position is immediately available
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition, and participating in developing standardized computational frameworks for regulatory
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and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development
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will be highly collaborative, so the position will gain training experience by working with the Greene and Pividori labs, who are leaders in their fields of machine learning, computational biology, and
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
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scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc.. Minimum Qualifications A Ph.D. in computer science, AI, Data Science, computational biology, Ethics in AI
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understanding of computational algorithms and statistical modeling and a working knowledge in molecular biology, microbiology, and microbial ecology • possess a working knowledge on genomic sciences and