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knowledgeable system developer for our national DDLS data services, with a profile towards data engineering, systems development, and data management. In this role, you are expected to develop software, systems
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or Apptainer. Experience with software deployment and infrastructure automation, e.g. Ansible, and CI pipelines. Experience with modern software engineering practices, such as code reviews, testing, automated
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software development “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using code sharing platforms, workflow languages and
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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with nano-LCs. Performing data analysis and interpretation using established proteomics software and tools, such as Proteome Discoverer, Spectronaut, Skyline, Byonic, Perseus and R-based Shiny
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). Experience in mathematical modeling of DNA or protein evolution. Hands-on experience with model training (CNNs, transformers, …) and libraries (TensorFlow, PyTorch). Experience in software and method
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and understanding of data-dependent and data-independent acquisitions (DDA, DIA). Preferably, experience with FAIR workflows including use of open science software and chemical informatic resources
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chip-to-world interfaces and control software for experimental equipment. Strong skills in CAD-based design tools We require good oral and written skills in English. Additional qualifications It will be