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an excellent opportunity for recent graduates interested in applying quantitative and computational methods to biomedical research, particularly in immunology. Job Duties Develop and analyze mathematical models
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learning, or related quantitative field. • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with digital holography and electronic systems
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computational methods to interpret complex data and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In addition to your research responsibilities, you will
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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. Postdoctoral Fellow – Ion Channels and Membrane Biology Duke University School of Medicine | Yang Lab https://sites.duke.edu/yanglab/ The Yang Lab at Duke University School of Medicine seeks a creative
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future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and develop computational methods
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questions that lie at the interface of organic chemistry and chemical biology. The candidate will develop new chemical methods and small-molecule based probes to advance understanding of important biological