323 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Instituto-Superior-Técnico" Fellowship positions in United States
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to cross international boundaries and present a risk to U.S. livestock. The fellow will have the opportunity to contribute to the development of novel insecticides targeting arthropod pests of livestock
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of Hope. This role offers an exciting opportunity to investigate immune checkpoint signaling within the tumor microenvironment and contribute to the development of novel anticancer therapies
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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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the development of follicular helper T (Tfh) cells and germinal center B cells. Learning Objectives: You will participate in experimental design, immunization and analyzing cellular and molecular responses
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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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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days 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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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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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