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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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computational methods with a particular focus on deep learning and image analysis. The project relies on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP
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good software engineering habits — modular, well-documented, reproducible code. Are comfortable working in interdisciplinary teams and can communicate effectively across computational and experimental
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the BioImage Informatics team (https://www.scilifelab.se/units/bioimage-informatics/ ). This employment is funded through NBIS under the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software
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www.medtech4health.se/aida . AIDA Data Hub, a branch of AIDA, is a national e-infrastructure for research and innovation in data-driven precision health. We provide secure computing and storage resources, data and data
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Data-Driven Life Science (DDLS) programme. We have a national mission and develop services for life science data and e-infrastructure, as well as work with issues related to FAIR principles, open science