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                multi-disciplinary environment You are passionate about science, combining aspects of imaging sciences, cancer research and neuroscience You should have experience in at least one of the following fields 
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                26 Oct 2025 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Electronic engineering Engineering 
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                methods to study dynamic cellular processes (live calcium imaging, pathological protein assembly, imaging of signal cascades) at spatial levels ranging from a single molecule to (entire organs of) model 
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                the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project 
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                , neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in human and animal models. Doing a PhD at our Center Embedded within both VIB and KU Leuven, we 
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                advanced optical imaging, to characterize materials and measure cellular mechanics. Collaboration and Expertise You will work closely with our expert collaborators: Prof. Rob Jelier (Computational Biology 
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                patterning and key process steps High-speed analog/RF Neuromorphic computing Next-generation logic devices Novel memory concepts Quantum computing Data science and data security GaN power electronics Image 
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                (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission 
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                , and computational biology, the student will also contribute to the integration of experimental findings with spatial and systems-level analyses of inflammation along the gut–brain axis. Position 
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                on the research. Required Qualifications Candidates have a Master of Science in Computer Science, Computer Engineering, or equivalent. Experience in any of the following are highly relevant: software development