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                . We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a Postdoctoral Researcher in quantum computing and algorithms 
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                core areas: evolutionary biology, natural resources and environment, and biological nanoscience. The Department building, Ambiotica, is an integral part of the University of Jyväskylä's Ylistönrinne 
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                the employment length is 3 years. Summary of the project Adaptive phenotypic plasticity—the ability of organisms to modify their traits in response to environmental change—is central to evolutionary 
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                ecological and evolutionary processes. Through the integration of paleontological, geological, geochemical, and biological data, the project aims to uncover how Earth’s systems, climate, and life have 
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                should have a doctoral degree in molecular biology, genomics, evolutionary biology or a related field while the doctoral candidate should have a master’s degree in a related field and a keen interest in 
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                in signal processing and control. Your role and goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating 
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                particle (SEP) events. The project is a joint collaboration of Algorithmics and Computational Intelligence research group at the Department of Computing and Space Research Laboratory at the Department 
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                programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Organismal and Evolutionary Biology Research Programme invite applications for three postdoctoral 
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                The Organismal and Evolutionary Biology Research Programme invite applications for three postdoctoral researchers in biodiversity science, genetic indicator assessment and ecological statistics 
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                project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU