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of their appointment, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . For more information on degree requirements and the application process, please visit
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period of six months of their appointment, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . For more information on degree requirements and the
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of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes . We offer
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Researchers. The research action Sustainable Wellbeing Across Lifespan (SWAN) (https://www.swan-helsinkiuni.net/ ) conducts cutting-edge research to promote health span by identifying individual risks and
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months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral
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(www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell ). The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en
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Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https://destine.ecmwf.int /), where INAR is a contributing member. The Climate DT project is setting up an operational simulation
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development opportunities and benefits. The Faculty of Biological and Environmental Sciences is Finland’s largest and most high-profile and extensive hub of research and teaching in the field. The Faculty
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. This project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. Additionally, we leverage the theory of estimating functions to create optimal
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interdisciplinary and international research teams Willingness to supervise junior researchers and develop your supervision skills Excellent command of spoken and written English Research group The Machine Learning