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8 Sep 2026 Job Information Organisation/Company Newcastle University Department Biosciences institute Research Field Neurosciences Researcher Profile First Stage Researcher (R1) Positions PhD
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations, membrane biophysics, physical chemistry, soft condensed matter or computational structural biology. PhD Project 2 – Adaptive Functional Materials for Neuromorphic Computing (CRC 1459) Adaptive
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
14 Aug 2026 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile Established Researcher (R3) Positions PhD Positions Application
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systems developed in the SAM3 project in terms of process-structure-mechanical property-function relationships. The candidate will be enrolled as PhD student at the Doctoral School for Materials Science and
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 2 Sep 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Hours Per Week
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) Positions PhD Positions Application Deadline 4 Sep 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Permanent Job Status Full-time Hours Per Week 37 Offer Starting Date 27 Apr 2027 Is the job
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% of your total appointment, averaged over the course of your PhD. Job requirements Essential An MSc degree in systems & control, electrical engineering, mechanical engineering, applied mathematics, physics
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30.08.2026, Academic staff For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and methodological
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these challenges requires a workflow that connects rapid materials and process exploration with rigorous device