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, the position of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and
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of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and financial models
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, the position of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and
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ESSENCE: Efficient Self-Supervised Machine Learning for Adaptive Wireless Communication Systems This project investigates self-supervised learning (SSL) for wireless communication systems to improve
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. - Solid experience in large-scale biodiversity data analysis and the use of statistical models. - Strong writing and communication skills. - Flexibility and adaptability. - Rigorous and self-motivated
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at the Nuffield Department of Population Health (NDPH), the Big Data Institute (BDI), and the Department of Psychiatry. You will Develop, implement, and adapt existing self-supervised and multimodal learning
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, remote object ranging and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and
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. Where to apply E-mail research@bse.eu Requirements Research FieldEconomics » Environmental economicsEducation LevelPhD or equivalent Skills/Qualifications PhD in Economics or related field Strong research
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positions within this project. Your Profile: MSc degree with subsequent PhD (or equivalent) in physics, chemistry, materials science, or a related discipline Strong background in one or more of the following
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) Participation in international conferences (including presenting your research results) Preparation of scientific publications and project reports Supervision of PhD students and other students Support in