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signal processing, with a strong emphasis on quantitative methods. The DAF Technology Lab is a university facility consisting of office space, three research cabins and two CAVE (Cave Automatic Virtual
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input signals. Your goal will be to explore material systems that host novel types of correlated electron ground states as well as pushing forwards the limit of the implementation of brain-inspired
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, define whether user attention and preference is linked to creativity, and gather data on how errors affect user attention. You will use a mixed method approach to analyse the impact that technology has
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extremely difficult for social, cultural, and scientific reasons. Analysis of these issues from an empirically informed philosophical point of view has been limited to date and is urgently required. In
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data acquisition, and sensor integration (vibration, AE, thermal). Strong background in signal processing and machine learning (Python and/or MATLAB), with a track record in diagnostics/prognostics
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, socio-spatial inequalities and real estate applying quantitative, qualitative and mixed research methods. Our ideal candidate should have: A PhD-degree (or nearly finished) in the field of economic
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microscopy method development. We are in particular interested to build upon our track record of Point Spread Function fitting for single molecule localization microscopy. Here wer combine computational
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. One challenge here is to understand and control the dynamic response of the system for complex input signals. Your goal will be to explore material systems that host novel types of correlated electron
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to investigate structure-property relationships of the synthesized materials both from fundamental point of view and for industrial application in CO2 separation and storage processes; You are open to
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to be separate from the CV. For publications that are not first-authored, please indicate the individual contribution. [LastName_publications] A research proposal of no more than 4 pages outlining your