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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0245 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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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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accessibility. Develop and maintain databases to organize and query genomic and microbiome data. Contribute to genome assembly, annotation, and comparative genomics analyses. Provide coding and computational
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professionally stimulating working environment Position as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 657 000 upon appointment. Further increases in salary
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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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. 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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citizenship behaviours align with the ARC-IFC’s Code of Conduct and UQ values. Build and maintain strong relationships with Indigenous communities and ARC-IFC’s community partners and other end-users
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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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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