73 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Belgium
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citation record must be focused on AI; or alternatively (B), machine learning engineers with an AI-focused PhD and demonstrated 2-year industry experience in AI development Applicants must have in-depth
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concepts such as digital twins, learning from human interactions. In the domain of efficiency and sustainability, projects relate to a.o. the development of novel electrical machines, engineering of
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nearby highways, an indoor SDR testbed for research on next generation wireless communications and sensing, and a GPU Lab for training of advanced machine learning models. IDLab is both part of
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are comfortable working with Git and API tooling, such as Postman. You have experience in machine learning, NLP/LLMs, multimodal systems, computer vision, or scraping. Having experience in data science
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who are willing and able to learn fast. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/rd-process-integrati… Requirements Research FieldEngineering » Electrical
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occupational asthma, dust lung, auto-immune diseases, cancer, etc). · Strengthens existing research lines and brings complementary and/or additionally new expertise by working closely with the members
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systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
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wireless communications, RF signal processing, and/or applied machine learning Strong background in digital communications and RF signal processing, ideally with experience in SATCOM, NTNs, or space-borne
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interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin