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functions is therefore crucial in the process of model development to the specific tasks at hand. For instance, the Hyvärinen score matching principle has been widely applied in AI systems, particularly
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processing of brain tissue microstructures within such image volumes. The scientific responsibilities of the new doctoral researcher lie within this domain. As our new Doctoral Researcher or Project Researcher
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intelligence. The project also aims to expand this modelling framework for spatially continuous forecasting by combining information from satellite images and species communities. Methodological research is
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to understand the damage and repair processes in the central nervous system (CNS) with the aim to unlock the endogenous repair potential. The group has a strong focus on neural regeneration and disease
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they employ. The design of loss functions is therefore crucial in the process of model development to the specific tasks at hand. For instance, the Hyvärinen score matching principle has been widely applied in
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of the MET faculty, determined by the research profile and interests of the selected applicant. In BIO unit, research focuses on fundamental cellular processes and immunology. We utilize molecular genetics
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cytometry, cell biology, metabolic assays, imaging and next generation sequencing to understand the molecular mechanisms involved in the regulation of immune cell function. The researcher (position 1) will
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): Prof. Pia Fricker, specialist in computational design and adaptive landscape and territorial systems. ADAPT PhD researcher, focusing on environmental data analysis and prototype development
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Doctoral Researcher in Solar & Space Physics The Space Physics Group at the University of Helsinki invites applications for a fully funded 4 year PhD position in solar and heliophysics. The position
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using UV-Vis, steady-state and time-resolved PL, QY spectroscopy, cyclic voltammetry for photophysical characterization Hands-on experience with high-resolution imaging using TEM, SEM and AFM