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of their appointment, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . For more information on degree requirements and the application process, please visit
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period of six months of their appointment, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . For more information on degree requirements and the
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goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders. Key responsibilities Design
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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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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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, 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
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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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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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questions where the notion of risk can be utilized, such as ‘can knowledge be understood in terms of risk?’, ‘are closure principles compatible with an anti-risk conception of knowledge and justification