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Programme in Electrical Engineering Contribute to teaching duties as part of your doctoral studies Your Network and Team Currently, our research group consists of 1 professor, 3 PhD students, and several MSc
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on lymph node lymphatic endothelial cells, fibroblasts, and resident myeloid cells. Our long-term goal is to develop novel approaches for locally modulating immune responses within specific lymph nodes
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employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has
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create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our university community has competitive edges in technology, health and society.www.tuni.fi/en
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development opportunities and benefits. The Faculty of Biological and Environmental Sciences is Finland’s largest and most high-profile and extensive hub of research and teaching in the field. The Faculty
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are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built
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). The position will focus on computational analysis and modeling of links between human microbiome and cancer. The selected candidate will develop and apply data science methods, contribute to data processing
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applied for after graduation in the next possible call (spring 2027/autumn 2027). Benefits We offer you responsible and interesting tasks and the opportunity to develop your professional skills in a
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computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with
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. This project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. Additionally, we leverage the theory of estimating functions to create optimal