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systems, from data ingestion to model deployment. Hands-on experience with machine learning frameworks, particularly PyTorch, including model training, fine-tuning, evaluation, and experimentation
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experimental model systems. Under the direction of the Principal Investigator, the Research Teaching Specialist V will perform cellular and molecular biology experiments related to the ongoing investigatory
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methodological developments along the chosen direction (inference, active-matter theory, or machine learning). ◦ Algorithmic implementation and validation of the developed tools. 5. Validation on model systems
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, competitive degree offerings and stellar faculty. For more than 140 years, the University of Arkansas at Pine Bluff has worked to create an environment that inculcates learning, growth and productivity while
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values across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker
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, selectivity and phenotype mechanisms directly in primary human cells and employ machine learning methods for data analysis. This includes activity-based profiling, global- and phosphoproteomics and phenotype
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an
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experience in AI security, data privacy or machine learning. High-quality publications in top-tier software engineering/security/AI journals or conferences. Proficiency in programming software/languages
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limited to machine learning, generative and foundation models for biology, digital twins, mechanistic and hybrid modelling, statistical inference, or AI-enabled experimental design. We are particularly