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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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Develop automation tools to streamline research and system development Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior Partner with
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at the candidate or master level, for example, Chemistry, Biology, Geology, Cognitive Science, Educational Psychology, Human-Computer Interaction, Education Sciences, or other relevant programmes that include
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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• Highly motivated to carry out precision experiments and implement novel measurement methods • Strong initiative, effective working style • High level of creativity and drive to experiment intensely
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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for collecting human subject data including blood draws Must have some exposure to analyzing EEG data Must have introductory understanding of quantitative analysis methods Must be able to work independently