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. The department has approximately 160 staff members, of which 30 are PhD students. For more information, visit https://www.umu.se/en/department-of-ecology-and-environmental-science/ .
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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
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Qualifications: Master's degree in Agricultural related field and at least 4 years related experience in program development, delivery, and management. A relevant PhD may substitute for two years’ experience
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perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural language processing and large language models hybrid, interpretable
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and patient-reported outcomes; (b) observational research and comparative effectiveness studies; (c) intervention studies; (d) clinical informatics, mobile/electronic health; (e) machine learning
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management Machine learning, artificial intelligence, and big data analytics in finance Technological innovations for financial services Regulatory issues and challenges in FinTech Digital economy and
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computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The subject area concerns
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doctoral students. We conduct world-leading research and education in both theoretical and experimental physics, including the development and use of large-scale infrastructures. We also collaborate
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https://pubs.acs.org/doi/full/10.1021/acssuschemeng.5c0419 The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and
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modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in or experience in environmental exposure