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Filled Yes Desired Start Date 06/09/2025 Job Summary Position will work with collaborators on analyzing imaging and behavioral data from the BrainHealth Project. The BrainHealth Project is a landmark study
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electrophysiological recording (cMOS Multielectrode array) and calcium imaging and optogenetics. The long-term goal is to understand how cortical organoids process information. For this aspect there will be
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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exploring B cell migration in the spleen. The successful candidate will have extensive experience in handling and processing live spleens and an established expertise in live imaging of this organ. As a
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physiologically relevant models will provide crucial platforms to mimic disease pathology, and better understand and treat tendinopathy. The project will generate tendon-chips using in-house commercially available
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immunohistochemistry, along with experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty is to perform
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and manipulation of synaptic function, including novel multiphoton imaging, optogenetic, and computational tools. We are looking for a highly motivated individual with a strong background in cellular
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Vacancies Postdoc position on Form Adaptive Multilayer Engineering (FAME) Key takeaways Staying in focus is a fundamental challenge in highly demanding optical systems where imaging plays a central
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neurodegenerative diseases. ALS is the primary disease focus. The potential projects within this area include but are not limited to: Cell based assays (primarily imaging) for mitochondrial biology using human