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Field
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position The PhD student will: Develop machine learning models for digital phenotyping and genomics Work with multimodal datasets (images, 3D data, motion, genomics) Implement models in Python (e.g. PyTorch
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teaching and research support tasks for courses related to Cyber-physical systems, electronics lab work or applied image/data processing. Profile You hold a Master degree in Computer Science, Electronics
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Division. We are looking for an enthusiastic, resourceful, and dedicated researcher with proven expertise in social-cognitive neuroscience of psychosis using functional magnetic resonance imaging (fMRI) and
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these processes. Within the research group, we highly value a positive work environment characterized by respect and care in our relationships with one another. We continuously strive to create conditions that
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Delft. In this team, consisting of several PhD students, postdocs and undergraduates, we focus on developing new concepts for 3D imaging of nanostructures, using light. Job requirements A masters degree
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requires detailed imaging, beyond what is currently possible in humans in vivo. In this NWO-funded Vici project, we will leverage Ultra-High Field MRI (7T) with recent advances in MRI hardware, acquisition
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of the PhD. Selection process Pre-selected candidates will be interviewed online in June 2026 Additional comments Please send your CV, a brief cover letter, and the contact details for at least two
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collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D data, geometric representations, or parametric
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, longitudinal patient and population registries and biobanks. Project description The development of artificial intelligence (AI) and computerised image processing in combination with advanced digital microscopy
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At the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Faculty of Medicine, Aalborg University, a PhD stipend in spatial privacy for health data is available