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/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machinelearning methods, in particular for data integration tasks, would be a plus
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. Minoru Otani). The post holder will undertake the following tasks: Contribution to the design, implementation, testing and demonstration of new methodologies and algorithms for the study of electrochemical
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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well as in the implementation of multiple use cases utilizing both laboratory prototypes and commercial Quantum Key Distribution (QKD) systems. These use cases will be demonstrated over existing fiber-optic
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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multiple prestigious national and European grants to develop the project and the successful candidates will be embedded in a large network of international collaborations (NL, ES, IT, PT, UK, DE
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physics, which traditionally has relied upon powerful particle colliders, e.g. the LHC at CERN. Axions and axion-like particles (ALPs) are well-motivated dark matter candidates that could solve multiple