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, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment analysis, topic modelling
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intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
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experience with code version control Strong interpersonal and collaborative skills, with the ability to share knowledge and expertise Proficient in Danish (at DELPHI, the working language is Danish) Decent
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evolutionary genetics, genomics, population genetics, bioinformatics. Extensive experience in bioinformatic analyses, coding and development of pipelines, handling of large genomic data sets, experience with
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environment Qualifications The successful candidate will have some of the following qualifications: Master or PhD in physics, photonics engineering, or related. Proven coding experience in scientific
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LC-MS platforms available at Aarhus University. Collaborate with both university researchers, clinical researchers and two involved companies. Writing well-documented, reproducible code and
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repositories as well as internally produced datasets. The coordination will include code development, code review, package administration, and generation of interfaces (including graphical and command line
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++, or similar) and a keen interest in writing clean, well‑documented and reusable scientific code. Experience in building Big Data databases (e.g. SQL), managing large datasets, and querying / structuring in
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, or related areas. You need to be able to plan, conduct, transcribe, and systematically code interviews and focus groups with upper secondary students, teachers, and school leaders, and to translate
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is