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Pandemic Disease in Preindustrial Europe (1300–1800): Combining History, Machine Learning, and the Natural Sciences (EUROpest)”, funded by the European Research Council (ERC) as an ERC Synergy Grant
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: active learning (uncertain cases first), smart sampling, confidence thresholds, gradations (auto-label/review/manual), measurement and decision logic for throughput vs. quality. Proficiency in programming
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machine learning techniques or computational methods for text and data analysis is appreciated The working language of our research team is English; therefore, proficiency in English is essential. While not
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processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative
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of activities involved in the positions we are looking to fill, pooled together. Your specific responsibilities will depend on your skillset and experience. For example, if you are a computer scientist with
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funded German research initiative. Project Description: Carbon black is an indispensable component of numerous everyday products – from car tires and seals to paints and plastics. However, its production
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machine learning algorithms Strong communication skills and ability to work in interdisciplinary teams Fluency in spoken and written English We offer: A dynamic and interactive research environment as