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As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
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a list of previous publications, theses, and/or software outputs, where applicable. Copies of Bachelor’s and/or Master’s degree certificates, including documentation of completed academic courses and
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technology development, including the design and synthesis of small organic molecules and biological macromolecules. Development of new biochemical and analytical methods are the basis for advanced studies
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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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expertise in existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will contribute to building a
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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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to independently drive short‑term scientific projects Experience in laboratory coordination or management Strong collaborative and communication skills combined with a structured, detail-oriented working style
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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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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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. Qualifications Required: Passed a second cycle degree (for example a master’s degree), or Completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education