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fundraising activities. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of
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European level Participation in teaching activities Teaching and Learning education You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected
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the Department. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. As a formal qualification you must
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working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. As formal qualification you must hold a PhD degree (or
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archaeology, ancient history or a related discipline Proven expertise in archaeology and cultural heritage of the Near East and Western Asia fluency in English (spoken and written) knowledge of other modern