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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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histopathology and clinical information to learn robust cross-modal representations for diagnostic prediction. It pursues two integrated objectives: (i) to develop generative and explainable AI approaches
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enrolled in ULB’s 4-year doctoral programme, in which they acquire many other important career skills. PROFILES Prof. Maes is looking for three highly motivated, intellectually curious, and collaborative
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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international conferences and peer-reviewed journals. You will make supporting scientific contributions to existing research projects complementary to your own doctoral research, in collaboration with other
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journals. To a limited extent, your appointment will also involve coordinating and supervising exercise sessions, laboratory sessions, and project-based learning activities associated with courses taught by
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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responsibilities and tasks: Conduct research activities within the scope of the E.CoLith project. Collaborate closely with the other researchers in synthetic microbiology, modelling and living-material architecture
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considered a strong asset. Experience with Deep Learning and Artificial Intelligence is considered a plus. Excellent proficiency in the English language is required, as well as good communication skills, both
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of Prof. Jeroen Famaey as a member of the IDLab-UAntwerp research group at imec and the University of Antwerp. You will closely collaborate with other researchers at IDLab-UAntwerp. You will write detailed