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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to contribute to the development of fast
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Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project bridges between classical analytical methods and modern AI
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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Beginning Other Application deadline You can apply for our programme at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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(R1) Positions PhD Positions Application Deadline 11 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Offer Starting Date 1 Apr 2026 Is the job funded
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Your Job: In this PhD project, you will shape the future of power system security by harnessing exascale computing. Your research will focus on understanding and enhancing grid resilience under
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Your Job: In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to