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are free space optical communications, fiber communications, source coding, channel coding, (multi-user) information theory, security, and machine learning. You will have the opportunity to work with and in
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partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across the two teams. The position offers a strong publication trajectory at leading HCI venues
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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(there is room for learning-on-the-job). A PhD in aerospace/mechanical engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow
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, ontology engineering, formal logic, knowledge graphs, data annotation, user interaction, cognitive modelling; Knowledge of, or interest in, agentic AI, NLP, HPC, LLMs, machine learning; Strong programming
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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://www.academictransfer.com/en/jobs/362880/phd-position-on-critical-approa… Requirements Specific Requirements You have a Master's degree in Industrial Design, Interaction Design, Human-Computer Interaction, or a closely
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-of-the-art AI methods, such as machine learning and knowledge-based methods, you will tackle high-dimensional biological data to uncover new insights into the connections between nutrition and health. In
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facilities and access to microscopes etc. The BioMS group is world-renown for mass spectrometry-based proteomics and structural biology, and applies these technologies to study amongst others cancer, auto
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statistical analysis or computational modelling (e.g., growth curve modelling, machine learning, large language models); You have excellent English communication skills (oral and written). Basic Dutch