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Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a
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new era of quantitative and predictive biology. Install, configure and maintain Linux servers (hardware and software) Manage clusters, software environments and automation tools (e.g. Ansible) Develop
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neural networks Documented experience with image analysis Strong competence in Python programming and Linux/HPC environments Prior experience of virtualization and software development Good social skills
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Genomics meetings and activities and help disseminate best practice through the network. You will also be part of a team of bioinformaticians and molecular biologists locally, and will contribute to helping
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(MaxQuant, Proteome Discoverer, Peaks Studio, DIA-NN, HDX-Examiner, etc), MS RAW data analysis software (Xcalibur, Freestyle, etc.). Proficiency in protein-centric pathway analysis, enrichment, and network
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Discoverer, Peaks Studio, DIA-NN, HDX-Examiner, etc), MS RAW data analysis software (Xcalibur, Freestyle, etc.). Proficiency in protein-centric pathway analysis, enrichment, and network analysis using tools
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eager to contribute to the future of life science research. You stay up to date with the latest trends in AI and software development, and you thrive in an environment where new solutions are rapidly put
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innovation is a defining hallmark of Campus Solna, reinforcing SciLifeLab’s global reputation as a leader at the forefront of molecular bioscience, spanning biomedicine, infection biology, molecular cell
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computer science or an equivalent education, such as a Master of Science in Engineering. A minimum of 10 years of documented experience working in IT as a developer, systems specialist, architect, or similar role
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, the national DDLS research school, and other training and networking opportunities throughout Sweden. The successful candidate will be further affiliated with the Laboratory for Molecular Infection Medicine