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domains (e.g., automotive, human-computer interaction), where efficient on-device processing is essential. We are looking for a highly motivated PhD researcher with an interest in hardware-aware
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analog electronic accelerators. You’ll collaborate closely with a multidisciplinary team of machine learning experts, software developers, computer scientists, fabrication specialists, and experimentalists
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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information and communication experts, linguists, computer engineers, lawyers and economists, and offers adapted solutions to issues relating to the intelligibility of digital data and their standardized
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resistance to antibiotics, particularly in M. tuberculosis. This research promotes the discovery of new molecules or new antimicrobial combinations. Website of the research unit: https://pharmacie.ulb.be
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Bavay (phone: +32 2 650 43 58 - e-mail: presidence.haa.phisoc@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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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-academiques-et-scientifiques-cv-type) and a
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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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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 template
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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