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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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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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, access to industry-driven case studies, real-world data, and state-of-the-art modelling tools. For the Project Researcher position, the successful candidate will be expected to apply for and pursue a
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regenerative capacity of liver tissue. Your work will involve the use of research animals to investigate cell-cell interactions during regenerative processes and to developed new in vitro organoid models. You
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of Arctic Phytoplankton, within the Research Council of Finland-funded project on "Climate-driven Dispersal, risk or potential for Arctic diversity". The position is full-time, and the preferred starting date
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branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6
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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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on data-driven decision-making. The second area, management of information systems, covers various topics related to information systems, from their management and use to their implementation
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of environmental health, women’s health and next-generation, animal-free toxicology. Tasks As Doctoral Researcher, you will play a central role in EIRIS, contributing to both the experimental and data-driven parts
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, metabolome & exposome research, and AI-driven data integration in health and disease. The position is part of the EU-funded INITIALISE project, coordinated at the University of Turku. INITIALISE brings