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chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https://www.compchem.lu.se
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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data
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science, AI, or computer science. Documented experience in professional software development. Experience with programming and AI (e.g., Python, RAG, Agent System). Experience in GenAI, natural
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computational analysis of genomic datasets using established pipelines in R, python and HPC. Write reports and summaries of findings, including grant preparation and presentations, and look for opportunities
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Python and the Flask framework to support data access, visualization, and interactivity; (iii) designing, maintaining, and documenting robust back-end systems for indexing and retrieval of complex datasets
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designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation
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: https://www.list.lu/ How will you contribute? You will participate in applied projects in the framework of the risk evaluation of micropollutant contamination in surface and groundwaters, involving
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reporting and data insights Desirable: Experience with HR or workforce data Experience in a large or complex organisation, ideally within higher education Exposure to tools such as Python or R Role
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. Preference will be given to candidates proficient in design and development of a new optical instrumentation, FLIM, software development, especially with Java for ImageJ/Fiji, Python, LabVIEW, and MATLAB, and
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an established modern analytics-as-code stack (PostgreSQL, dbt, Prefect, Python, Git/GitLab CI) and integrating data from diverse sources (SQL databases, APIs, flat files, SFTP feeds), this role empowers analytics