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At least 70% of your assignment will be spent on academic research. You conduct research in the Artificial Intelligence and Data Analytics (AIDA) research group under the supervision of prof. Tijl De Bie
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computing and multimedia processing, machine learning, artificial intelligence and web semantics. IDLab has a unique research infrastructure used in numerous national and international collaborations. IDLab
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domains of clinical neurophysiology. Knowledge in the field of artificial intelligence deep learning and machine learning is highly appreciated. The candidate should be a collaborative, dynamic person who
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observations: tThe development will be built upon a physics-based electromagnetic retrieval algorithm supported by Artificial Intelligence (AI) components. 2) Development of a near real-time monitoring of LULCC
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application) a (European) master's degree in computer science, Mathematics, Artificial Intelligence, or equivalent, with excellent (‘honors’-level) grades. Your degree must be equivalent to 5 years of studies
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after application) a (European) master's degree in computer science, Mathematics, Artificial Intelligence, or equivalent, with excellent (‘honors’-level) grades. Your degree must be equivalent to 5 years
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for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. IDLab has a unique research
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have (or will obtain in the next months) a (European) master's degree in computer science, Mathematics, Artificial Intelligence, or equivalent, with excellent ('honors'-level) grades. Your degree must be
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., a few months after application) a (European) master's degree in computer science, Mathematics, Artificial Intelligence, or equivalent, with excellent (‘honors’-level) grades. Your degree must be
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the following qualifications and skills: You have (or will obtain in the next months) a (European) master's degree in computer science, Artificial Intelligence, or equivalent, with excellent ('honors'-level