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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
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-throughput screening approaches (CIRSPR screen, drug screen, etc.) and in vivo preclinical models to study interactions between cancer cells and macrophages and develop novel macrophage-mediated cancer
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and international collaborations. You will be part of a collaborative research environment with close interactions with the Basel Research Centre for Child Health (BRCCH), the University Children's
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-pathogen interactions and cellular stress biology. This is an opportunity to work with a multidisciplinary team of experts at NTU and partner institutions, and to make a meaningful contribution to our
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sources to populate SHADAC’s online data visualization tool: State Health Compare Conduct analysis using the National Health Interview Survey (NHIS) to examine differences in access to care and utilization
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efficacy of documentation, maximize clinician adoption, and ensure consistent integration of measure results across patient interactions (history, assessment, plan of care, goals and serial reassessments
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tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub repositories and user-friendly scripts for data visualization by other researchers
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to investigate molecular mechanisms of autophagy and mitophagy Apply biochemical and molecular approaches (e.g., protein interaction studies, signalling pathway analysis) Develop and/or utilize in vivo models
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terms of the interaction of phonetics with resource limitations on human cognition (resource rationality). Separately, recent decades show that phonologies can be reasonably well modelled as optimisation
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Requirements: Ph.D. in Electrical and Electronic Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Human-Computer Interaction, Biomedical Engineering, or other