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approaches used in the molecular life sciences practical experience with research computing tools and languages (e.g. Python, R, shell scripting) proven ability to develop reusable training resources
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Apache, IIS, Nginx, Java Tomcat or equivalent platforms (or a demonstrated ability to develop new skills in this area). Proficiency in at least 1 of the following programming languages: Python, Bash, Java
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network services, and provides guidance to colleagues within the Global Networks Team. Strong Python scripting skills are mandatory for this position, as you will be expected to automate processes, develop
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, stakeholder engagement, and strategic analysis. Advanced proficiency in data tools and programming languages like Python or R. Exceptional communication and leadership abilities, with a knack for turning data
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environments using tools like SQL, Python, and Azure Data Factory deliver data-driven insights for executive decision-makers, frontline staff, and AI-enabled automation tools collaborate with data scientists and
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to the development and maintenance of science data processing pipeline solutions. This role suits an expert Python programmer with experience in scientific workflows and high-performance computing (HPC), who thrives
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actively to the development and maintenance of ACCESS-ISSM Recipes, the ACCESS-ISSM Python API, and the ACCESS-ISSM Community Data Pool. Participate in the development of HPC-optimized ISSM configurations
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bioinformatic pipelines for single-cell sequencing, spatial proteomics/transcriptomics, and or integrative multi-omics data analysis. You’ll be able to demonstrate strong proficiency in R or Python, bash, and
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system administration, performance tuning, troubleshooting, automation, and security hardening. Strong programming/scripting skills in Python, Bash or similar. Proven experience supporting researchers in
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& Experience: Level A - A PhD in a related discipline, and/or relevant work experience. Experience with modelling using ideally python or similar or excel. Ideally modelling manufacturing processes from a