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Field
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adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
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, the microstructure of its elements, and the interactions between groups of neurons in these circuits. In the CBClab we use state-of-the-art 3D imaging methods to measure the microstructure and connectivity in brain
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interlinked sub-projects are devised, conducted by one PhD candidate, and one Post doc. As a PhD candidate and postdoctoral researcher, you will conduct educational design research, i.e. a development study
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. Experimental and theoretical skills in thermoplastic polymers and fiber reinforced composites, experience with polymer rheology is a plus. Experience with the finite element method and programming experience in
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, microfabrication, 3D-printing, finite element analysis, atomic force microscopy (AFM), microfluidics, optical microscopy, electron (cryo) microscopy, image analyis, statistical data analyis, and biophysics. You are
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. Preferably, you have experience in one or more of the following fields: scientific instrumentation, microfabrication, 3D-printing, finite element analysis, atomic force microscopy (AFM), microfluidics, optical
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capacity. Micromachined mechanical flow sensors, based on bending or moving microstructures, have been primarily used for specific applications, such as measuring turbulence, where small and fast sensor
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microstructural imaging techniques. The research has been published in a wide spectrum of leading academic journals, including the Lancet Neurology, Alzheimer’s & Dementia, Neurology, Radiology, Cerebral Cortex
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postdoctoral researchers, supervised by Dr. Tim van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because
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candidate, and one Post doc. As a PhD candidate and postdoctoral researcher, you will conduct educational design research, i.e. a development study aimed at designing evidence-based solutions for complex