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for! We are searching for a Systems developer in service development and operations for Linux at the AIDA Data Hub, belonging to the Department of Science and Technology, based at the Center for Medical
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international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a position as a system developer at
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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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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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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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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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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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spatial mass spectrometry. Experience with single-cell omics is also an advantage. Advanced biostatistics and machine learning, such as multivariate analysis, regularization, deep learning, or network