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Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 Oct 2026 - 12:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job
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PhD studentship: Discovery of rational therapeutic biomarkers in breast cancer by systems pathology and deep learning Supervisor: Dr Hamid Raza Ali Department/location:Cancer Research UK Cambridge
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the comparative predictability of Romance verbal inflection, and forms part of the UKRI Future Leaders Fellowship project `Scaling predictability in Morphological paradigms`. The project seeks
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
University. Project description This fellowship forms part of the Novo Nordisk Foundation-funded project “Deep Learning-Accelerated Crystallography Pipeline”, a collaboration between Durham University
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navigation services provider, has established the Centre for Doctoral Training in Air Traffic Management pioneering new research in machine learning and AI for air traffic control. During their first year
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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Profile First Stage Researcher (R1) Application Deadline 25 Sep 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov 2026 Is the job
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23 Sep 2026 Job Information Organisation/Company GFZ Helmholtz-Zentrum für Geoforschung Research Field Geosciences Researcher Profile First Stage Researcher (R1) Application Deadline 6 Oct 2026 - 21
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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intelligence Develop efficient methods for maintaining reliable behaviour under changing environments, sensing conditions and resource constraints. Topics may include test-time and continual adaptation