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classification. The primary objective of this 1.5-year position is to develop a method for identifying endangered heritage sites in forested mountains of South America, and to make contributions to the fields
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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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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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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 investigator, 2 PhD
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About the institute The Institute of Education and Child Studies provides education for over 1500 students across various programs: Bachelor's, Academic Teacher Training Program (ACPA), Pre-Master's, and
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experience in conducting independent research with primary sources. Excellent command of English as well as competence in relevant research languages. Interest in working collaboratively with a
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responsibilities Conduct original research on a topic relating to cuneiform studies; Teach a graduate seminar on methods and concepts in ancient Near Eastern Studies; Organize an international conference on a topic
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programs: Bachelor's, Academic Teacher Training Program (ACPA), Pre-Master's, and three Master's programs. The institute's staff believes in the power of collaboration. The academic staff provides education
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Foundation (NWO) as part of its Open Technology Programme (OTP) aimed at supporting translational research. Project and key responsibilities The primary goal of this postdoctoral project is to create a novel
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networks over time and space. The primary role of the postdoctoral research within the project will be to assess the promises and limitations of using Knowledge Graphs and embedding models to study large