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position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data.
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17 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 10 days ago
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part
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PhD Studentship in Aeronautics: Real-time machine learning and optimisation for extreme weather (AE0073) Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Climate change is
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healthcare decisions? If the answer is yes, please continue reading! Join our team! As part of the UNIFIED project we are looking for a PhD candidate to research new adaptative architectures and foundation
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Scholarship value These PhD studentship awards include tuition fees plus a combined maintenance grant equivalent to the Research Councils UK National Minimum Doctoral Stipend (£20,2780 for 2025/26
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of hyperbolic deep learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning
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. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. The PhD position will focus on development a comprehensive and AI-driven platform
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Three 3.5 year PhD studentships in artificial intelligence in medicine or health data science funded by the National Institute for Health Research UCL UCLH Biomedical Research Centre are available
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approach that integrates machine learning algorithms, blockchain technology, and IoT devices with digital twin systems. The scientific objectives of the project are as follows: Objective 1: Investigate how