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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
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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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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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management. Preferred Qualifications: Ph.D. in Plant Breeding/Genetics, Genomics, or related field, familiarity with plant breeding programs, proficiency in R and/or Python, experience with genome-wide
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in top-tier journals and external presentations is required. The candidate should also be proficient in R or Python, and SQL programming. APPLICATION PROCEDURE: Apply online at https://uva.wd1
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spectrometry. • Experience preparing research documentation such as manuscripts, grant applications, or regulatory submissions. • Proficiency in statistical analysis and/or coding (e.g., Python, R) for data
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(even at a theoretical or modelling level) with neuromorphic hardware architectures or integrated photonics for signal processing. Proficiency in Python and/or C++, and familiarity with machine learning
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Django Python development. Experience with VCS, preferably Git. Advanced skill level in CSS, HTML5, and JavaScript. Knowledge of MVC and responsive web designs. Knowledge of application testing and
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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or more relevant platforms or technologies, such as: Copilot Studio o Power Automate / Power Apps, Power BI and semantic data models, Dataverse or relational databases, APIs, REST/JSON integrations Python