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Field
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analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics simulation software. Familiarity with deep learning platforms (e.g. TensorFlow
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and does not fully exploit real-time satellite data for nationwide dynamic prediction. Recent advances in deep learning have improved performance in flood mapping tasks, yet these models often remain
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intelligence modelling ability (e.g. statistical machine learning, deep learning, generative AI, large language models, etc.) Familiarity with plastics recycling value chain (sorting, density separation
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the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work with large acoustic datasets and
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
. Craig Anderson at the DKTK partner site Munich a PhD Student in Mutagenic Chemotherapy Driving Treatment Resistance Reference number: 2026-0126 From cigarette smoke and UV radiation, to chemotherapeutic
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models and AI systems? As a PhD student at TU Delft, you will conduct impactful research on two key aspects in advancing the responsible use of AI within the Netherlands Police force. First, you will
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criteria Machine Learning Expertise: A robust foundation in probabilistic modeling, Bayesian inference, deep learning, and/or anomaly detection Modeling & Simulation Experience: Familiarity with Building
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holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws
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) Karima El Ganaoui, ESTI Pau CY Tech, M24, duration: 4 weeks, AI materials Duties of the position Take part in the mandatory PhD research education programme Develop a quantitative deep-learning-based
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criteria Machine Learning Expertise: A robust foundation in probabilistic modeling, Bayesian inference, deep learning, and/or anomaly detection Modeling & Simulation Experience: Familiarity with Building