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                Field
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                24th November 2025 Languages English English English Kavli Institute for Systems Neuroscience has a vacancy for a PhD combining optical imaging with 3D tracking to map neural coding of body posture 
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                Description The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast phenomena, X-ray 
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                research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of 
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                engineering Physics » Chemical physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 30 Nov 2025 - 23:59 (Europe/Copenhagen) Type of Contract 
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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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                the qualifications 7. Certificate of enrollment in a PhD program Submission of applications: orz0822@imbb.forth.gr Selection process Evaluation procedure Applications will be evaluated by a three-member evaluation 
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                related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands 
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                knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We are looking for a PhD candidate for microfabrication, nanostructuring 
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                scientists, clinicians, and engineers to push the boundaries of brain imaging and contribute to insights that can improve healthcare practice. Technical PhD Candidate In this role, you will be responsible 
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                smRNA FISH, live microscopy imaging) and theoretical approaches (e.g., data analysis techniques and information theory) to address the above questions. Currently, we are seeking a highly motivated PhD