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involves the following key responsibilities: Conduct original and novel research in the fields of Interactive AI or Hybrid Intelligence, where AI models are built to naturally interface with and augment
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Research Infrastructure? No Offer Description Leiden University is seeking an enthusiastic and well-qualified postdoctoral researcher in machine learning, in particular classification. The primary objective
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government actions. This project will take place under the supervision of Dr. Babak RezaeeDaryakenari (principal investigator), Dr. Matthew Di Giuseppe, and Dr. Corinna Jentzsch. As part of the position of PhD
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and interdisciplinary research field. You will assist with student supervision and teaching and complete a PhD thesis in four years. Requirements Specific Requirements Selection Criteria Master degree
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supervision and teaching and complete a PhD thesis in four years. Selection Criteria Master degree or similar in biodiversity-relevant field, such as ecology, communication research, urban planning
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focus on survey experiments), specialized knowledge of EU institutions and/or European public administration, and a keen interest in the topic of the project. Together with the project team (the principal
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: You hold a master's degree in the field of industrial ecology, environmental sciences or another related field. You have documented expertise (e.g. a master thesis) in LCA, MFA, E-IOA or other methods
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maintainers of the IOH Profiler Benchmarking platform. Key responsibilities Conduct original and novel research in the field of landscape-aware optimization and machine learning for problem-dependent efficient
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and related research areas, both fundamental and applied. The broad bachelor's program and a wide variety of master's specializations also contribute to this goal. Within the institute and the academic
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experimentally validated. Key responsibilities Conduct original and novel research in AI and cheminformatics Publish and present scientific articles at international journals and conferences; Contribute