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positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under
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strives to be a workplace free from discrimination and with equal opportunities for all. Generous financial support for conducting research and recruiting staff, such as postdocs and PhD students, is linked
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, translational and clinical research related to cancer. Your mission You will work in close collaboration with the PI, PhD students, postdocs, and collaborators to support a well-functioning and collaborative
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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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collaboration with the PIs, PhD students, postdocs, and other researchers to help shape a well-functioning collaborative laboratory environment. The applicant is expected to perform lab managerial, administrative
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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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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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, Chapter 7, Section 39). Applicants must: Be proficient in at least one statically typed programming language. Have substantial experience of developing software (e.g. projects with > 10k lines of code
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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