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, Computational Biology, Bioinformatics, or a closely related discipline. Demonstrated experience programming in Python or other major programming languages. Proven experience working in Linux environments
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Proficiency in large-scale genomic data management and bioinformatic processing, including fluency with R/Bioconductor workflows and Python scientific stacks. Hands-on experience with deep learning frameworks
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, epidemiological and/or linked administrative health datasets using software packages such as R, Stata, SAS or Python. Demonstrated success, relative to opportunity, in obtaining competitive research funding and/or
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technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as
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project research; - to build or help build scripts (Python or equivalent) to trace the spread of the aforementioned vocabulary in early modern print; - build up a taxonomy of early modern prisca-related
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the following tasks: - to build up a full ‘prisca’ vocabulary in Latin, English, and at least one other language included with the project; - building or help building scripts (Python or equivalent) to trace
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and/or optimization in research work Experience with software packages such as Matlab/Python Strong interpersonal, written and verbal communication skills Commitment to collaborative research and
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in statistical programming, particularly in R and/or Python. Experience working with linked health records is desirable, as is familiarity with large‑scale biological datasets. You should be able
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degree in physical sciences, biochemistry, or computer science is required at the start of the position (we accept ABD applicants). Applicants with prior experiences with Linux command line, Python
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new quantitative methods. Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. A track record of first-author scholarly