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the project’s scope within the defined framework based on your expertise and research interests. Additionally, you are expected to collaborate on projects with other group members, contribute to administrative
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Python or R are required. Basic understanding of statistical analysis in large dataset is expected. Fluency in written and spoken English. Merits: Experience in applying machine learning and/or network
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provides excellent access to research infrastructure, including databases, computational facilities and instrumentation, as well as to clinical materials and networks and training activities. The four
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/researcher position is available in Mariana Braga’s group at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. Research in the Evolving Networks lab (evonetslab.github.io ) centers
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infrastructure and support from more than two hundred plant researchers. Our research spans from biochemistry and molecular biology to physiology and the ecosystem level (www.upsc.se) . System developer Umeå
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, wildlife management, forestry and crop protection. The Evolving Networks Lab is part of the Insect Ecology unit Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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that the applicant has Collaboration skills and the ability to create and maintain international networks. Ability to collaborate with external stakeholders, such as healthcare, authorities, and companies
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the past ten years thanks to artificial intelligence, mainly in the form of deep convolutional neural networks. In parallel, functional analysis of tissue samples via novel microscopy techniques and spatial
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for cancer research and diagnosis as well as graph neural networks for microscopy. Main responsibilities The position involves taking an active part in CMCB lab’s daily research. The succesful postdoc will be