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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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climate change are far-reaching, particularly when it comes to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key
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the processes of water movement through the soil-root-stem-leaf-atmosphere system and reveal those traits at each point in the system that contribute to enhanced yield stability in maize. The successful candidate
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. *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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department committed to excellence in research, education, and innovation. Our research spans Internet of things, machine learning, signal processing, to digital twins, all with a strong emphasis on high
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fNIRS recordings. The postdoctoral associate will develop and apply advanced signal processing and statistical techniques to quantify the relationships between neural and hemodynamic signals, and
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time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process, organize, interpret, review
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational
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Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 30 Sep 2025 - 17:00 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating