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Field
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
code development or open-source contributions, polymer chemistry, and mathematics, modeling, or numerical methods. An established record of research productivity is highly desired. Special Physical
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sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs). CNAP is a dynamic and international research environment: approximately 60% of our staff is international, with a
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students who receive exceptional exposure to a variety of expertise. Our faculty and students have received numerous national awards in research and mentoring and are committed to excellence in training
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numerous federally funded research studies spanning topic areas that cover both basic and translational science. The postd doctoral scholar will work closely with their faculty PI to choose their research
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Griffith University, and with numerous civil society organizations in the region. The researchers will be fully integrated into the UCSD community, which includes a highly interdisciplinary school of public
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) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence. The Postdoctoral Associate will meet with the PI at least twice per week
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-generation sequencing data Programming skills (e.g., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence
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opportunities. Responsibilities: Write and run evolutionary biogeochemical numerical models to simulate lifeless and inhabited worlds, and develop disequilibrium-, redox-, and information-based metrics