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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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nature, involving optimization, control, data science, and/or machine learning problems will be evaluated positively. An interest in issues related to the challenge of the transition will also be
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interested to do research in an academic environment for a 4 years period in view of a PhD degree. You have a strong background in wireless and mobile networks and machine learning You have excellent coding
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/Qualifications Who you are You have a Professional Master’s degree or PhD in electrical/software engineering or equivalent through experience. You have 3-5 years of experience in computer vision and image
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institutes, 5 learning centres and 18 libraries. UCLouvain also has two university hospitals. UCLouvain is a major player in the transition to a sustainable society. The challenges of the ecological crisis
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12 Sep 2025 Job Information Organisation/Company Université catholique de Louvain Research Field Computer science » Programming Computer science » Other Engineering » Computer engineering
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Engineering » Computer engineering Engineering » Other Researcher Profile Established Researcher (R3) Country Belgium Application Deadline 12 Nov 2025 - 11:00 (UTC) Type of Contract Temporary Job Status Full
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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to substantive political science questions. You have strong skills in automated text analysis and natural language processing (e.g., machine learning including neural networks, relation and entity extraction