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Field
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, signals, measurement data, and biomedical data. Current research topics include: causal analysis in time series complex systems and networks, chaos, and fractal-based methods, EEG analysis, computational
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22 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Engineering » Biomedical engineering Engineering » Materials engineering Engineering » Other Medical sciences » Other
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level
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are explored for applications ranging from magnetoelectronic devices to advanced biomedical systems. A central strength of our group is the development and operation of unique, home-built scanning probe
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provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting
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: PhD degree in Biochemistry, Biophysics, Biomedical Sciences or related areas; Scientific and professional curriculum whose profile is suited for the activity to be performed; Have at least three
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process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made
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preclinical imaging - Proven expertise in quantitative imaging analysis and in signal or image processing - Strong analytical, organizational, and communication skills - Ability to work in interaction with
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical