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working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
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applicant will be responsible for developing and applying thermal and dynamic models for modelling behaviour of a liquid hydrogen tank, coupled to the behaviour of the contained fluid, as well as aspects
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adaptive Kalman filters and transformer architectures. Integration of object detection and landmark recognition with 3D city models may enable semantic awareness for navigation. Efficient map compression and
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. At the same time, you will develop computational tools (effective-model simulations and/or first-principles modelling), analyse theoretical and experimental data, and interpret the behaviour of the engineered
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model by integrating the newly developed approaches into the numerical program developed in the ‘OceanCoupling ’ project. We would like the successful applicant to start in the first quarter of 2026
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics
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, Chemical Engineering, Computational Fluid Dynamics, or Applied Physics. Strong expertise in numerical modeling of multiphase or reactive flows (CFD experience required). Proficiency with at least one CFD
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mathematical modeling and numerical methods. Detailed information is available on the ACHILLES website. Interviews - Recruitment workshop: April 2026. The top three candidates for each position will be invited
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series. Linear Algebra: Matrices, vector spaces, linear systems, eigenvalues. Numerical Methods: Numerical solution techniques for material modeling. Functional Analysis: Hilbert spaces and operators
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manipulation on optical fibers, fabrication and characterization of fiber and/or solid lasers, photo-inscription of FBG on optical fiber by femtosecond technique, numerical modeling of guided propagation