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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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with scientific programming (e.g., MATLAB, LabView) is advantageous Knowledge of scientific instrumentation and electronics is desired Experience with (or willingness to learn) stop-flow spectroscopy and
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Assoc. Prof. Claire Henry. The larger project looks at the regulation of sexual violence in screen media (film, television and video games) and how this has translated to online content. The project will
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We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning
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publish it as your PhD thesis. Your team Your WUR supervisors will be Dr. Paul Smeets and Prof. Dr. Ciarán Forde (Sensory Science and Eating Behaviour chair group). Dr. Davide Risso, external research
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Closing Date: 15 July 2025 Overview
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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Networks, and ICT Services & Applications. The SIGCOM research group, headed by Prof. Symeon CHATZINOTAS, carries out research activities in the telecommunication and networking systems, including NTNs and
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for a PhD position that combines research in the field of intelligent mission planning and learning-based optimization with real-world applications, in collaboration with Volvo Group. This is an ideal
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning