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reconstruction of the underlying three-dimensional scene. Within this PhD project, you will develop an end-to-end incoherent holographic imaging system. You will investigate models for the propagation
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an AI-based image and video processing pipeline dedicated to these novel multi-optics systems. This PhD research is embedded in the project HARMONY_SBO, funded by Flanders Make, the Flemish strategic
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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). · Application of ultra-high-resolution NeuroEXPLORER PET for imaging neuroinflammatory processes in the brain, with a focus on neuroinflammation in healthy ageing. · Comparison between patients with AD
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health technologies, we work closely with clinicians, engineers, computer scientists and policymakers to support the responsible development and implementation of innovative healthcare solutions. We
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Computer engineering Computer
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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linking: PVD process → thin-film morphology → electrode microstructure → electrochemical behaviour → full-cell performance The two successful candidates will investigate how the morphology and physical
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/or image processing Experience in protein expression and purification Knowledge of kinase signaling and regulation Evidence of research excellence, such as publications, conference presentations
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integration models As a PhD researcher, you will: Support MRI and EEG data acquisition and optimise processing pipelines Manage, curate and integrate multimodal datasets (MRI, EEG, wearable sensors) Develop and