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, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design
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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in
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partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position
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Software Engineer] to a postdoctoral-level position. The desired start dates would be as soon as possible in 2025. Are you more of a programmer than your researcher colleagues? Are you more of a researcher than
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, funded by the Research Council of Finland, synergizes modern computational methods for analyzing large histological image volumes, new magnetic resonance imaging techniques, and statistical physics
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drug design” is led by Docent Juri Timonen, at the Division of Pharmaceutical Chemistry and Technology. Our aim is to create new machine learning and artificial intelligence methods to accelerate drug
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develop AI in scientific research in the context of DIVSOL. The candidate will also interact with various support services, e.g., research software engineers. In addition, the candidate will actively
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy