300 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" Fellowship positions in United States
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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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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-bachelor's candidate for this research opportunity. As the selected candidate and under the guidance of a mentor, you will have the opportunity to learn and gain experience in the development and execution
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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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School. KHRI and the neuroscience community at the U-M provide a highly supportive and diverse research environment and excellent career development opportunities for postdoctoral fellows. We are committed
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for a Postdoctoral Fellow position. The lab is working to explore the evolution of mammalian lifespan with the goal of better understanding the underpinnings of human aging. There is a strong emphasis on
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evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials
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research intern for training opportunities at its research site in Charleston, SC. The USVL generates fundamental and applied information needed for the development and improvement of vegetable crops and
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conferences. Contribute to proposal development and future research directions aligned with PRISM objectives. We are looking for: Ph.D. in Mineral Engineering, Chemical Engineering, Materials Engineering, or
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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