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and Streptococcus pneumoniae. We welcome applications from recent PhD graduates who are interested in contributing to our highly collaborative and exciting research program. The successful candidate
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of transmembrane signal transduction. Collaboration with team members specializing in molecular biology, computational modeling, and cell biology is encouraged, as is the presentation of research findings in
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance with real-world samples, and effectively
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computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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simultaneous analysis of multiple analytes from small sample volume; optimize sensor design and assay for high throughput analysis. Assess and validate sensor performance with real samples; ensure data
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and genomics. Responsibilities: 1. Conduct research in neuroscience using in vivo and in vitro models. 2. Publish and present research findings in high-quality scientific journals and conferences. 3
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer