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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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corresponding numerical methods in computer codes. Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods. Ability to
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corresponding numerical methods in computer codes. Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods. Ability to
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-Newtonian fluid dynamics, direct numerical simulations and machine learning algorithms, contributing to the development of new ideas, approaches, concepts or techniques. The role holder will contribute to
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of the appointment. Preferred Qualifications: Candidates with strong backgrounds in kinetic equation, numerical analysis, scientific computing, PDE together with research experience in scientific
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position in probabilistic methods for foundation and world models Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 15, 2026 Read more and apply SciLifeLab / Careers
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Research Associate - Statistical Methods for
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Assistant/Associate/Full Professor of Synthetic Biology and Computational Methods Apply now Job no: 536687 Work type: Faculty - Tenure Track Location: Eugene, OR Categories: Biology/Life Sciences
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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developing and analysing numerical or computational methods for scientific applications. You are able to work independently on technically challenging research questions and formulate new approaches when