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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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: Doctoral degree (PhD) in physics or a MSc in mathematics, computational science or engineering Strong background in HPC and scientific computing and strong interest in numerical algorithms and
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 7 hours ago
with the widely-used open-source Parallel Data Assimilation Framework (PDAF). The project provides excellent possibilities for collaborative work with European project partners as well as the forecasting
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position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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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