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(FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our interdisciplinary team. Project overview This project aims to develop machine learning models
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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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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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safety, health, and cultural and social acceptance. We will enable the development of a more holistic, efficient and safe approach to new food and drugs and related technologies, as exemplified by advances
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acceptance. We will enable the development of a more holistic, efficient and safe approach to new food and drugs and related technologies, as exemplified by advances in pharmacogenomics and nanomedicine, novel
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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