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                - Experience in image processing and/or - Familiar with rodent behavioural tests and/or - Experience in histology and/or - Familiar with the theory and preferably practical aspect of MRI. You will be responsible 
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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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                staff position within a Research Infrastructure? No Offer Description A PhD research position is available at KU Leuven, Department of Electrical Engineering (ESAT), division Processing Speech and Images 
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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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                are highly anisotropic and non-linear. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling framework, ensuring its applicability to industrial processes 
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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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                principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put 
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                , molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply 
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                immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore