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is to develop models in sexual selection theory within the research group of Associate Professor Jussi Lehtonen. In particular, the aim is to identify common causal and mathematical structures across
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Food Sciences Unit at the Department of Life Technologies at University of Turku (https://www.utu.fi/en/university/faculty-of-technology/life-technologies/research/food-chemistry-and-food-development
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will conduct econometric analyses using register-based firm-level data, contribute to the design and implementation of empirical research, prepare peer-reviewed journal articles aimed at publication in
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academic and industrial partners. Key Responsibilities Perform advanced 3D CFD simulations of hydrogen/oxygen jets and combustion in argon-atmosphere experiments (CVC and RCM setups). Develop and validate
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to important applications. We educate future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Soft Matter and
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focus on internationally high-level research specifically in generating societal impact of wellbeing research by analyzing, developing, and disseminating effective evidence-based interventions, practices
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
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Computational Biology, Bioinformatics, or a related field, Understanding of statistics, genetics, immunology, cancer development with emphasis on transcriptomics, Demonstrated ability to work with high-throughput
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environment affiliated with the European Laboratory for Learning and Intelligent Systems (ELLIS) Institute Finland. The selected candidate will contribute to the development and implementation of precision
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development of artificial intelligence. The study draws on large-scale comparative data, including EU-SILC across EU member states, Finnish full-population register data (INVEST IFP), German SOEP panel data