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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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Diplomas (MSc/PhD – in English) List of publications Links to relevant public code repositories that you may have contributed (optional) 2 references (who we can contact for further details) Applications
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 2 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0039-NPP-MAR26-LRC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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. Anyone who has been recognised as severely disabled, will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we
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Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct
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component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing
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with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated contributions to open-source scientific software projects Desired Qualifications: ● Experience working
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. Experience and ability to design and execute experiments to evaluate protein self-assembly. An ability to derive equations and writing code to analyze data on protein self-assembly. Practical experience in