12 model-driven-engineering-"Data-driven-Materials-Modeling" Fellowship positions in Finland
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interests, the work may include: Developing new models and methods for noise-driven wireless communication. Designing and evaluating low-power and low-complexity signaling schemes for future IoT and 6G
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dysfunction. We combine genetic, molecular, and physiological approaches to identify and dissect the pathways that mediate these effects. The successful candidate will conduct original research using the model
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research. Its focus areas are technology, health, and society. The university regards the competence of staff as its most important strategic asset and supports its development. For further information
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5 Sep 2026 Job Information Organisation/Company University of Turku Research Field Computer science » Other Engineering » Other Environmental science » Earth science Environmental science » Other
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unique environment for multidisciplinary, inspirational and high-impact research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en . We
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4 Jul 2026 Job Information Organisation/Company Tampere University Research Field Computer science » Other Engineering » Communication engineering Engineering » Electrical engineering Engineering
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to more than one; state your preference in your motivation letter. 1. Neurodevelopmental proteomics You will map the molecular circuitry of human neurodevelopment using advanced 2D and 3D cell models together
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. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular data, causal representation learning, in
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approaches to large-scale biomedical data. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular
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. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular data, causal representation learning, in