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, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024, and Den Otter, Weindel, Stuit, Van Maanen, Plos Computational Biology, 2026 for more information about these methods. The goal of the project is to
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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circuits contribute to pathological aggression. The postdoc will use functional ultrasound imaging, behavioural assays, physiological recordings, computational modelling, and pathway-selective chemogenetic
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on surfaces, enabling us to model their magnetic relaxation and obtain spin relaxation (T1) and coherence (T2) times. With this knowledge at hand, we will provide new design principles for extending the spin
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this is your opportunity! For a collaborative project with Department of Nuclear Medicine and Molecular Imaging, Particle Therapy Research Center (Partrec) and SHINE Europe BV, we are looking for a
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cytometry facility, imaging facility and protein facility, and we are well connected to the department Rheumatology and Clinical Immunology. In the Inhibitory Receptor Lab is a dynamic team that studies
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a postdoctoral researcher, you will: Integrate hybrid traffic models and data assimilation methods into a coherent prediction framework. Develop uncertainty quantification methods and explainable and
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collaborative project with Department of Nuclear Medicine and Molecular Imaging, Particle Therapy Research Center (Partrec) and SHINE Europe BV, we are looking for a motivated and innovative postdoc who wants
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path-flows, and other key parameters and inputs. In your role as a postdoctoral researcher, you will: Integrate hybrid traffic models and data assimilation methods into a coherent prediction framework
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. This postdoctoral focuses on developing a new paradigm for the circular manufacturing of heterogeneous photonic integrated circuits. While heterogeneous integration has emerged as the leading approach for combining