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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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application-driven innovation through close collaboration with academic and industrial partners. The selected doctoral researchers will contribute to ongoing national and European research projects with
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certificate (MSc or equivalent; on the application form under "other") • Other documents that may affect the decision-making (for example a research plan, awards) Please submit your application through our
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approximately 130 researchers and support staff). The InFLAMES Flagship (Innovation Ecosystem based on the Immune System) is a joint organization of the University of Turku and Åbo Akademi University aiming
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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plan Previous experience in archaeology or history is not required, but will be considered a benefit. The project will include field trips to Campanian archaeological sites in Italy and, if possible
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us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful computer models that simulate the atmosphere using the laws of physics. These models are accurate but
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. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Engineering drives science and innovation in industrial and built environment technologies. We
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starting latest in January 2027 in a fixed term contract of 3 years. Background Weather forecasting helps us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful
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, or innovation studies). This requirement must be met by beginning of the employment. Has demonstrated expertise in qualitative methods, preferably in qualitative comparative analysis Has a solid track record and