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the background we imagine would best fit the role. Even if you do not meet all the requirements and feel that you are up for the task, we absolutely want to see your application! The PhD process is a learning
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address this multidisciplinary topic using state-of-the-art analytical techniques and data processing and analysis, guided by the highly qualified support staff at IBED. Together with your supervisors, you
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under future climate and fishing scenarios. What are you going to do? You will develop stage‑structured population models for both species, explicitly including life‑history processes, sea‑ice dependence
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strong affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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on components of your University Teaching Qualification (BKO) portfolio. Your supervision team will consist of Dr Sanne Weber (main substantive PhD supervisor) and Dr. Haley Swedlund. Would you like to learn more
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we challenge you to take charge of your own learning process . An excellent technical infrastructure, and on-campus children's day care. Unlimited access to the modern on‑campus TU/e Student Sports
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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disturbances and COPD pathology, and explore how targeted nutritional and pharmacological interventions may influence this process. PhD Candidate in Metabolic Inflammation and COPD Our goal: to better understand
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and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here . The mission of the Department of Electrical Engineering is to