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postdoctoral appointment in Remote Sensing of the land surface, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
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, enabling trustworthy computation without compromising energy budgets. Treating security as a first-class citizen when designing hardware components and future computer architectures requires novel design
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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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interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present
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research for the foreseeable future. There is a large interest from researchers, industry, and students. LIACS has a strong multidisciplinary AI portfolio (Machine Learning, Human-Computer Interaction
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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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— for example, a landscape that changes with climate, or a local action that produces effects in another part of the system. This PhD project investigates how people learn, update, and use spatial knowledge when
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to contribute to high quality, large-scale undergraduate education. Job description As Lecturer, your responsibilities will be centered around teaching and education. You will: Teach quantitative courses in Year
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Lecturer, your responsibilities will be centered around teaching and education. You will: Teach quantitative courses in Year 1 of the BSc International Business Administration and BSc Bedrijfskunde