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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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smooth access, support and training to our users. The facility is part of cryo-NET, the Nordic Cryo-EM network, and collaborates closely with advanced light microscopy, NMR spectroscopy and structural mass
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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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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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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