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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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. The candidate will work on wind turbine and wind farm control, developing innovative control algorithms and validating them through wind tunnel testing. The candidate will also be responsible for teaching
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historical musicology, music cognition, artistic research, psychoacoustics, and digital humanities. The professional will work closely with the corresponding Principal Investigator, Prof. Massimiliano Guido
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of mathematical models of biological processes or phenomena, in the presence and absence of pathologies. - - Development and validation of algorithms for the processing of diagnostic biosignals, also using
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group collaborations, searching out data sources, curating data, and writing research papers. The postdoc will be jointly mentored by FISC Chief Scientist Dr. Andrew Liebhold and prof. Tomáš Hlásny in