476 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions in Belgium
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Curriculum Vitae (if you wish, a standard CV can be downloaded from the website: https: //www.ulb.be/fr/documents-officiels/emplois-academiques-et-scientifiques-cv-type) and a document completed using the
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(courriel : david.gall@ulb.be ). Your application will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https: //www.ulb.be/fr/documents-officiels/emplois
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Bertels (courriel : julie.bertels@ulb.be ). Your application will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https: //www.ulb.be/fr/documents-officiels
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Kathleen Mc ENTEE (Phone : +32 2 555.61.61 – E-mail : Kathleen.Mc.Entee@ulb.be ). Your application will consist of a Curriculum Vitae (if you wish, a standard CV can be downloaded from the website: https
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. Pascal LAURENT (Phone : +32 2 555.67.80 – e-mail : Pascal.Laurent@ulb.be ). Your application will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https
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2 555.67.89 – E-mail: catherine.ledent@ulb.ac.be ). Your application will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https: //www.ulb.be/fr/documents
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will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https: //www.ulb.be/fr/documents-officiels/emplois-academiques-et-scientifiques-cv-type) and a document
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: https: //www.ulb.be/fr/documents-officiels/emplois-academiques-et-scientifiques-cv-type) and a document completed using the template available at this URL address (https://www.ulb.be/fr/documents
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research and development in Swarm Intelligence and Machine Learning, addressing challenges in counter drone swarm formation and defense Design, develop and conduct experiments of drone swarms using both
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contribution of the PhD will be the derivation of multilayered approaches for motion planning and control based on the XS-Graphs, where both model-based and learning-based solutions are foreseen. This includes