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entail electrode preparation, cell assembly, electrochemical testing, characterization of interfaces (largely SEM and XPS, but could also include FTIR, XRD), and experimental/analysis methodology
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Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications
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’ (https://www.uni-kiel.de/en/jma ). With its Early Career Programs, the JMA offers a unique research environment positioned at the interface of the humanities, the natural, and the social sciences
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for research, education, clinical work, leadership, and societal impact. You will join a stimulating environment where open science, team science, and personal development are central. See and read more: https
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Your Profile: Basic qualifications: Completed Master’s degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience with neutron spectroscopy (e.g. INS, QENS, NSE
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). These instruments exploit contrast variation, a powerful neutron technique, to resolve molecular-scale structures at complex interfaces invisible to other probes. The aim of the PhD project is to understand
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, as well as the subsequent definition and implementation of a common interface for the control, acquisition and provision of data, regardless of the type of unmanned vehicle. This also includes
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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in C++ is a preference. The successful candidate will work under the supervision of Prof.Mikhail Zubkov: https://www.ariel.ac.il/wp/mikhail-zubkov/ The particular interest is in • the numerical lattice
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single fluid vortex and a liquid/gas interface in various configurations through theoretical/numerical modelling and stability analyses. The following configurations will be analysed : - a horizontal fluid