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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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bisulfite conversion while utilizing R or Python (e.g., Bioconductor) and maintaining reproducible workflows with Snakemake or Nextflow and version control (Git). Analyze Single-Cell and Multi-Omics Data
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in authorship on publications and opportunities to present work at local, national, and international meetings. The successful applicant will have coding experience (i.e. in R, Python, or other
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systems (Windows, macOS, Linux). Basic exposure to scripting or query languages (e.g., Python, PowerShell, Bash, or log query languages) sufficient to read or modify existing scripts or queries. Basic
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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graduate student at the University of Michigan Available to attend lectures and lead lab sessions Demonstrated working knowledge of Python including programs of 100-500 lines of code. Have previously taken
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the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on control Experience in collaborative and international projects Experience/knowledge in HIL systems
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on cybersecurityl Knowledge and experience on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability
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part of change This position is part of the PhD project under Horizon Europe MSCA Doctoral Networks "FOCAL" (https://cordis.europa.eu/project/id/101169042 ): Architecture design and effective routing
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure