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the areas of privacy-preserving machine learning and membership inference attacks Development of innovative solutions using modern methods of machine learning and statistics Practical implementation and
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electrophysiological (EEG) data very good knowledge of statistics strong interest in the research field experimental neurocognitive psychology, in particular face perception, emotion and meaning processing very good
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advanced statistical and methodological skills Use big data to define predictive models and anticipate future outcomes: application of machine learning techniques required to achieve that Hypothesis testing
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record in biological, agricultural or environmental sciences. Sound statistical or programming skills to study biodiversity in space and time are required. Candidates must have demonstrated their capacity
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scales The call is addressed to dynamic and highly motivated researchers with a PhD and with an excellent track record in biological, agricultural or environmental sciences. Sound statistical