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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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the objectives and methods of the thesis project with partners and stakeholders by adopting a mixed-methods approach. The recruited person will combine participatory mapping approaches, semi-structured interviews
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biochemistry, structural biology, proteomics, novel detection and screening methods and pre-clinical models for wound healing and regenerative medicine applications. REMOD-HEALING is a Doctoral Network funded by
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in situ (e.g., artificial substrates mimicking gravel beds, shell beds, mussel beds), with comparisons to manipulated plots differing in habitat quality. Strategy and methods - Mapping: contribution