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of modern collaborative coding practices Demonstrated experience with the application of multiphysics modeling to model complex physical phenomena Strong interpersonal, written, and oral communication skills
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comprehensive application documents (cover letter, CV, transcripts, certificates etc.) indicating the reference number code no. 2025/KG 6 until 17.07.2025. Apply now!
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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 desirable
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measurement and characterization experience. Familiarity with radiation transport simulation codes such as GEANT4 and PHITS. Familiarity with AI-tools used for image reconstruction and pulse processing in
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policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0144-NPP-NOV25-ARC-Interdisc How to Apply All applications must be submitted in Zintellect Please visit the NASA
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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Closing date: 4th July 2025 at 23:59 By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants wishing to consider the SWR must
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Job Code: 14/2025 Job Offer from June 19, 2025 The Center for Adaptive Rationality (ARC) at the Max Planck Institute for Human Development in Berlin seeks applicants (m/f/d) for one Postdoctoral
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems