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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new
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Software Developer, Federated Research Data Repository, Lunaris, Information and Communications Tech
datasets promoting open research by developing FRDR-DFDR (https://www.frdr-dfdr.ca/) . FRDR addresses a longstanding gap in Canada’s digital research infrastructure by providing a platform through which
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interacting with different departments and external companies, fluency in English and in French is necessary. Good knowledge in LabVIEW or Python is a plus. Website for additional job details https
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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