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Categories:Research / Scientific Job Description Dr. Shenglin Mei lab at the Fralin Biomedical Research Institute (FBRI) Cancer Research Center- DC is seeking highly motivated Computational Biology postdoctoral
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research laboratory is helpful but not mandatory. The lab requires the candidate to be comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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safety training will be required upon hiring. • Must have a demonstrated ability to interact respectfully and comfortably with all individuals while exercising judgement and high degree of confidentiality
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of high-quality fruit for the growing craft cider industry, which represents an important value-added market in Virginia that connects growers directly to consumers. We will combine on-farm case studies
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Development (HBCD) study at Virginia Tech. The Part Time Research Assistant will be responsible for ensuring the smooth day-to-day functioning of all research activities in the lab for this project and
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(HBCD) study at Virginia Tech. The Research Assistant will be responsible for ensuring the smooth day-to-day functioning of all research activities in the lab for this project and assisting the Project
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are searching for a postdoctoral researcher for research projects examining lifespan neural development of emotion and cognitive systems and developmental trajectories of brain functioning as risk and protective
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Job Description The Ye Lab is seeking a highly motivated Postdoctoral Associate to join our team and contribute to an NIH-funded project focused on understanding how glioma hijacks the tumor microenvironment to drive malignant progression. Our research lies at the intersection of glial biology...
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale