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Field
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control in neuronal synapses You will be working with primary neuron cultures, rodent in vivo models, and patient brain biopsies You will use advanced microscopy for super-resolution and live imaging
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for producing high quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim
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: * Develop and apply cell culture models of retinal fibrosis and retinal degenerative diseases. * Utilize molecular biology, biochemistry, and imaging techniques to study disease mechanisms and therapeutic
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis
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biology methods, and neurological disease modelling or testing therapies in these model. Advanced IT proficiency including electrophysiological and imaging data processing and experience with statistical
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Agencies. Any CVs submitted by Recruitment Agencies will be returned. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https
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evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports costs with registration
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. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of