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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills
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. Maintain reproducible code and documentation. Conduct simulation experiments using driving simulators or other software tools to test and validate algorithms. Perform physical experiments on robotic and
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for the position is a significant factor in the evaluation. We can offer: A good and challenging work environment in research front of drug discoery and translational research Salary NOK 660 000 (code 1109
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reliability in applying coding/grading rubrics. The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications
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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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analysis and basic coding (e.g., Python, R, MATLAB). Strong organisational skills and the ability to work independently with minimal supervision. Excellent written and verbal communication skills. Strong
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fellowship. The fellowships are part of a European Research Council (ERC) Starting Grant project entitled "Competition in the Digital Era: Geopolitics and Technology in the XXI Century (CODE)” . CODE examines
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have a strong background in fundamental electrochemistry, with preferable hands-on expertise in computational materials science. The applicant should be well versed in code development, application of AI
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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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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0187 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete