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structural analyses; setup of high-performance computing (HPC) and usage of grid generators; Study of key grid generator parameters; - Automatic Component Grid Generator: Development of a grid generator script
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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and an inviting sports programme at discounted rates. Selection process Please send your application (cover letter, resume, academic transcripts, high school diploma and the contact details of exactly
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Deadline 8 May 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Topologically-protected conductors of information are robust against perturbations that would normally scatter the information carriers, resulting in waste heat and reduction of energy efficiency. In
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skills, it is recommended to attend a German language course before the start (or during the initial stage) of the doctoral programme in Saarbrücken. Programme duration 6 semesters Beginning Only
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | 2 days ago
candidate must: hold or be about to receive a Bachelor's or Master's degree in Computer Science from a research-oriented institution of higher education have outstanding academic performance (rank at or near
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of the Strategic Human Resource Management (HRM) group focuses on topics such as sustainable careers, employability, leadership of human resources, entrepreneurship, high-performance work systems, flexible work
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2026 - 00:00 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Hours Per Week 42 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC
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working in high‑performance computing (HPC) environments, and prior experience with post-training, fine-tuning, or training large language models (LLMs) is an advantage, but not a requirement. Experience