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Fellow, you will develop a collaborative project under the supervision of two Nordic EMBL PIs at two different sites. You will obtain a 30-month, full time postdoctoral employment at the institution
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), including the brain and spinal cord, using advanced imaging methods. By developing a novel functional magnetic resonance imaging (fMRI) technique, this project aims to simultaneously capture activity in
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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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networks and practices that emerge around specific algal blooms and affected water bodies; and c) contribute to the development of conceptual and methodological tools for the social study of changes in human
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focused on comparative cloud policy analysis. Key responsibilities include: Developing a dataset of policies influencing cloud infrastructure in selected jurisdictions. Conducting interviews with
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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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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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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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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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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