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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 28 days ago
Job Code: MPA 08/2025 Job Offer from November 25, 2025 Job ID: 08/2025 The Max Planck Institute for Astrophysics in Garching bei München invites applications for a three-year postdoctoral position
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may be sought in advance of interview but only with the permission of the candidate. Confirmation of your right to live and work in the UK. *Non UK applicants can apply. Where a share code is provided
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Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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Calculations will be valued but it is not essential. · Previous knowledge of Density Functional Theory (DFT) and experience with DFT codes will be very highly valued. · Knowledge of chemical reactions and how
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the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity
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employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth
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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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processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated