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with troubleshooting their machines and support their understanding of core concepts. Guide students in working on their own project. Demonstrate best practices and foster the development
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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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and MA teaching is conducted in Danish, but applicants must also be able to teach and supervise in English at university level. Applicants who are not fluent in Danish will be expected to acquire
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be able to teach and supervise in English at university level. Applicants who are not fluent in Danish will be expected to acquire the language within a period of approximately two years. Applications
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Policy Implications and Recommendations Case Studies of Successful Innovation Funding Methods The project will employ a combination of methods, including machine learning (ML) and generative AI (GenAI
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methodologies in machine learning and causal inference applied to human health. Read more about NCRR here . Your job responsibility With a motivated, interdisciplinary team of approximately 70 researchers and