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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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ecological processes Demonstrated quantitative or qualitative analytical skills Capacity to work with complex data Research experience of Baltic Sea ecosystems Other qualifications that will be considered
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
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skills) *: PhD. Education/experience requirements*: PhD. Additional qualifying skills and abilities*: Strong analytical research skills to gather, document, and analyze information obtained through
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biological systems with methods from physics in order to obtain a fundamental understanding of the complex phenomena that can emerge. Our theoretical approach combines analytical calculations with
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Department: Fisher College | Operations and Business Analytics The candidate will be expected to work closely with the PI to play a leading role on a team that has two broad objectives: 1) creating drug-level
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage