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, access, metadata, DMPs etc) Advise researchers in R and Python for data analysis and modeling. Required Experience In developing R functions for reproducible statistical analysis Professional or academic
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degree and sufficient work experience would also be considered. Proficiency in Python for data analysis. Experience interfacing databases and R scripting will be an advantage but not required. Familiarity
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population surveys and randomized trials). Responsibilities: Utilize Python, R, and containerization (Docker, Kubernetes) to run computational analyses and automated data pipelines. Optimize data processing
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innovation ecosystem. Who you are You have an entrepreneurial mindset and might have experience with starting your own companies, or you have worked in the intersection of R&D and BD, commercializing early
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, you will contribute to several of the points listed below: Support R&D projects focused on functional ceramics, with an emphasis on slurry/ink preparation for shaping technologies like tape casting
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visualization, and AMR gene annotation Laboratory experience with MinION sequencing Proficiency in R, Python, and Unix (bash/shell) environments Experience working on HPC clusters (e.g., Computerome) Demonstrated
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skilled in R Experience with developing web-based tools (shiny or similar) Experience with developing/maintain bioinformatic tools (e.g. IsoformSwitchAnalyzeR) Experience with developing (bioinformatic
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for data analysis and modelling (R, MATLAB or Python). Ability to document data with relevant metadata based on FAIR principles in LIMS system Ability to work on multiple projects with good self-planning and