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Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data
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science more generally with managing data, software, tools, and support on nationally and internationally available computational resources, including the new AI Factories and EuroHPC resources, at NAISS
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in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows . SciLifeLab Fellows are also part of a broad national network of future
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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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of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
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quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Building quantitative models: Using high-throughput binding data
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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
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Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows. SciLifeLab Fellows are also part of a broad national network of future