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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
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formal language theory Computational models of language acquisition, especially building models for phonological and syntactic learning Mechanistic interpretability and controlled evaluation of language
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such as Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Mathematics, Biostatistics or a closely related field. Modes of Work Positions that are eligible for hybrid or mobile
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Mathematics, Statistics, Computer Science or a related field. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health outcomes is a plus. Work
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contribute to conceptual and theory-driven papers addressing addiction mechanisms, food system design, and public health implications Participate in interdisciplinary projects related to the regulation
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Qualifications* Applicants should have advanced experience in some combination of electrophysiological signal analysis, computational linguistics, and theories and methods in psycholinguistics and bilingualism
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meaningful information from noisy or ambiguous sensory signals? To what extent does neural plasticity in the auditory system occur via mechanisms dictated by classic theories of reinforcement learning, or does
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-throughput methodologies. Minimum four (4) years of experience with biochemical and molecular biological methods. Interest in mathematical modeling of metabolic and regulatory network. Modes of Work Positions