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Field
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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7 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Control engineering Engineering » Materials engineering Engineering » Mechanical
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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to conduct research activities in the field of Brain-Computer Interfaces, in the scope of the project “BCI4ALL”, co-funded by national funds through the Portuguese Foundation for Science and Technology, I.P
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developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with the running infrastructures. Using
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systems and control, applied mathematics, engineering, or a related field A strong background or interest in systems and control, applied mathematics, machine learning, and affinity with biological systems
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project, you will collaborate with leading universities, research institutes, satellite technology providers, and industrial partners across Europe, while working closely with an international team of PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
- SIPG LAB/ISR and 1801P.01460.1.04 LARSYS/ISR BASE 2025-2029 – SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: Develop new representations for computer vision and machine learning
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Applications are sought for a fully funded PhD 3-year studentship position in the School of Chemistry at the University of Birmingham (UoB) in collaboration with the Defence Science and Technology
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and