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to investigate the following topic. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/274361/phd-research-fellow-in-knowledge-representation-and-machine-learning Where to apply
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UiO/Anders Lien 28th February 2025 Languages English English English PhD Research Fellow in Knowledge Representation and Machine Learning Apply for this job See advertisement About the position
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Research Fellow in Knowledge Representation and Machine Learning Apply for this job See advertisement About the position Position as PhD Research Fellow in Knowledge Representation and Machine Learning
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7th February 2025 Languages English Norsk Bokmål English English PhD Fellowship in Statistical Physics and Machine learning modelling for battery materials Apply for this job See advertisement Job
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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. Experience in programming in languages such as MATLAB, R or Python is a requirement. Experience in Magnetic Resonance (NMR, MRS, or MRI) is a requirement. Experience in machine learning and processing
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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. Experience in machine learning and processing of experimental data is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills