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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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) who have agreed to provide a written statement on behalf of the applicant. Note that the references will be contacted only at a later stage of the process. To apply, please submit the application
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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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initial contract of two years Background The post-doctoral researcher/university researcher will be working on the EU’s Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https
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of statistical models and AI solutions relies heavily on the quality of underlying model assumptions and the learning algorithms they employ. The design of loss functions is therefore crucial in the process of
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models and AI solutions relies heavily on the quality of underlying model assumptions and the learning algorithms they employ. The design of loss functions is therefore crucial in the process of model
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of the applicant. Note that the references will be contacted only at a later stage of the process. To apply, please submit the application through the University of Helsinki electronic recruitment system by clicking
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, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https