873 evolution "https:" "https:" "https:" "https:" "VIB" Fellowship research jobs in United States
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
development have been restricted to juvenile animal studies for the past 20 years. The FDA program to reduce, refine and replace animal studies has stimulated an important discussion about both increasing
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, litigation, and public health response to ultra-processed foods Mentor graduate students, research staff, and undergraduate trainees Assist with grant development and research dissemination Contribute
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the brain, and behavioral development. Basic Qualifications Successful candidates will have recently obtained a PhD. in a relevant field including, but not limited to, neuroscience, biology, and psychology
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-of- origin–specific manner—and its critical roles in brain development, growth, behavior, and learning. The significance of imprinted genes is underscored by the diverse neural and behavioral
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inflammation and its role in breast cancer risk and progression. Major approaches include: Preclinical studies using mouse and rat models of obesity-associated tumor development. Evaluation of lifestyle and
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. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and substantial
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, including the development of novel diagnostics, drug treatments, and vaccines for controlling Theileria orientalis in cattle and Theileria equi and Theileria haneyi in horses. The project is conducted
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goals including the next logical step in their research and research training, goals for research development including alignment with the goals of the T32, and interest in a faculty mentor; three letters
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pipelines. Fellows will gain hands-on exposure to translational science, drug discovery, and technology development, with opportunities to contribute to intellectual property, partnerships, and new venture
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. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable