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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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environmental and health policy; measuring the societal costs of taxation; analyzing the influence of the public sector on firm birth, growth, and productivity; and taxation and development. Our research utilizes
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development. The University provides support for internationally recruited employees with their transition to work and live in Finland. For more on the University of Helsinki as an employer, please see https
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to the development of multi-level sustainable policies for human flourishing. This includes identifying social and environmental inequalities, supporting inclusive social action and policies, informing learning and
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. Research experience after completing the doctoral degree is expected. Scientific competence in developing artificial intelligence methods, with proven publication record in scientific venues in the field, as
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at the Faculty of Medicine, University of Helsinki. The project will focus on using and extending deep learning-based approaches developed within the group to integrate bulk multi-omics cancer data. The Kuijjer
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan
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of sustainability can be included. The postdoctoral researcher will be involved in the on-going research projects at the group but is also able to develop own research ideas. In addition, the person is expected
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the candidate can start in autumn 2025. Background Our group develops and applies systems pharmacology strategies to design rational combinatorial therapies for cancer. We combine both computational (dry-lab) and
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transdisciplinary research on ethnic, cultural, linguistic, religious and socio-ecological diversity. The action aims at offering novel insights into diversity that will contribute to the development of multi-level