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profiling, molecular biology, cancer genomics, and in vivo preclinical modeling. Examples of representative recent papers led by wet-lab scientists in our lab (as first author) include: https://www.nature.com
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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focus will be on introducing new AI models to chart the chemical âœdark matterâ of the mammalian metabolome; examples of such models include large supervised or self-supervised AI models for mass
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is
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, crystallography, cryoEM, binding kinetics. Biophysical Imaging: Single-molecule FRET, super-resolution, single-particle tracking, TIRF, confocal microscopy. Programming skills preferred. Accompanying Knowledge
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utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA
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). This would be expected to include independently performing experiments utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited
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Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM
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applications and impact in audio, communications, and music technology. - Develop theoretical models of wave propagation and hybrid methods that combine physical models with artificial intelligence techniques