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                The evaluation of the ability and potential to assimilate the education will primarily be based on: Knowledge and skills relevant to doctoral studies within the research area. Ability to formulate and solve 
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                4 Oct 2025 Job Information Organisation/Company Institutionen för biomedicinsk vetenskap Research Field Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Country Sweden 
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                . The project proposes an innovative approach to model sea ice dynamics from the ice floe scale to the basin scale, leveraging hybrid data assimilation and machine learning methods to shape a physically robust 
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                Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months agocomplemented by Monte Carlo simulations, triple collocation analysis and data assimilation to develop a frame work for the operational processing and data fusion to finally derive 3- dimensional (dim), and where 
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                for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation 
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                to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and 
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                devote his-/or herself to his/her own education. More information about the doctoral education program at the Faculty of Medicine can be found at www.umu.se/en/faculty-of-medicine/education/doctoral 
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                , the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment 
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                the fields of uncertainty quantification, data assimilation and optimisation under uncertainty, complementing data-driven approaches such as physics-informed machine learning. We will start by focusing