22 distributed-computing-associate-professor Postdoctoral research jobs at UNIVERSITY OF HELSINKI in Finland
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international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as
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Chinmey Dwibedi’s group at MIMS, Umeå, through the NORPOD program. Summary of the project The post-doctoral project aims to uncover genetic and adaptive mechanisms of the tumour associated microbiome in
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-Cell Genomics through the NORPOD program NORPOD is a collaborative postdoctoral program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research
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Research” funded by the Research Council of Finland in the research group of Academy Research Fellow Katariina Pärnänen. Our group aims to discover associations with socio-economic markers, health, gut
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medication security are challenged by the high costs of development, manufacture and distribution, evaluation of preclinical safety and efficacy, and the dependence of drug manufacturing on international
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Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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and Environment Research Programme The position is for a fixed term period for 2 years and available from September 2025 onwards (or as agreed). The position is based in the Ecology and Environment
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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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Application Deadline 9 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored