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of Science and Technology and participate in organized doctoral studies within the employment period. Admission normally requires: A bachelor's degree of 180 ECTS and a master's degree of 120 ECTS
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will be further developed by the successful candidate in collaboration with the supervisory team. Main tasks The successful candidate will: develop and evaluate image-classification workflows
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to research focused on maternity and the first 2000 days, including projects related to preventive care, management of alcohol and substance use, and service interventions aimed at preventing the primary causes
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new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing, while also advancing research on digital waters. The position is
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or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A main focus of this work is snow and glaciers in the mountains around the
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cryospheric models. A main focus of this work is snow and glaciers in the mountains around the globe. Candidates with relevant prior research experience in these areas will therefore be given preference
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or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A main focus of this work is snow and glaciers in the mountains around the
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cryospheric models. A main focus of this work is snow and glaciers in the mountains around the globe. Candidates with relevant prior research experience in these areas will therefore be given preference
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and Prof. Karl Schmedders, as well as a network of researchers from around the world. The main goal of the initiative is to bring the sustainability conversation back to the boardroom thereby ensuring
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within IMD, as well as a network of researchers from around the world. The main goal of the initiative is to bring the sustainability conversation back to the boardroom thereby ensuring the resilience and