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Department of Evolutionary Anthropology (IEA) Professorship for Evolutionary Anthropology and Primatology 100% We are seeking candidates in the field of Comparative Evolutionary Anthropology and
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of interest include, but are not limited to, biotic interactions, community ecology, conservation biology, ecological modelling, and eco-evolutionary feedback loops. The successful candidate will develop
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leading role in developing and implementing predictive algorithms designed to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi
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looking for a skilled Research Engineer to develop and deploy cutting-edge reinforcement learning (RL) and imitation learning (IL) algorithms on real-world robot platforms. The project requires hands
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interested in applied machine learning and computer vision at the intersection of research and industrial deployment. Job description Develop and implement state-of-the-art computer vision algorithms
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are looking for highly motivated applicants with a master's degree in evolutionary biology, population genetics, or conservation genetics. In addition to an interest in evolutionary and conservation biology
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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
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the group's team-teaching activities. Your profile Applicants should hold an MSc degree in plant sciences, evolutionary biology, environmental science, or related fields. We are looking for a motivated and
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plus. You enjoy working with complex, multimodal datasets and developing robust algorithms for continuous monitoring and predictive modelling. You are comfortable combining coding, data analysis, and
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance