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science » Computer systems Medical sciences » Other Physics » Optics Architecture » Other Researcher Profile Leading Researcher (R4) Positions PhD Positions Country Spain Application Deadline 21 Jan 2026 - 23:59
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous
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exclusively by the Foundation for Science and Technology, I.P./MCTES, within the framework of the multi-year funding of R&D Units, for the period 2025-2029, through national funds (PIDDAC), aimed at the PhD in
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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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for an FWO PhD scholarship to further develop the initiated research (if eligible). Advantages strengthening the candidate’s profile, but strictly required: Experience with machine learning or system
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Computer Engineering, along with a Master's in ECE and a PhD in Interdisciplinary Engineering. Our students are well-grounded with hands-on experience in modern engineering labs integrated with faculty
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 10 hours ago
Degree Doctor of Philosophy (PhD) in Heritage Studies Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and the
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically