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collaboration with the pharma industry. Our current research projects include the analysis of: • Plasma, CSF and Brain Proteomic analysis • Biomarker identification through the use of machine learning and AI
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, and/or machine learning approaches for prediction and causal inference—to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who
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-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning
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-scale in vivo perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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Mathjobs.org | 20 days ago
responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure
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responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure
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, probability theory, dynamical systems, statistical mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop
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used for data analysis, such as R or Python. • Experience with single-cell or spatial transcriptomic analysis is desirable. • Experience with machine learning, LLMs, AI agents, multimodal data
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fields, and machine-learning-force fields. The initial appointment is for one year, with the possibility of renewal contingent upon satisfactory performance. For additional information about this
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Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and