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the conversion of experimental excel-based soft sensors to industry-ready programmed solutions using C++ and python Support research by performing data analysis tasks Liaise with clients regarding delivery of soft
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Canada, the USA, the UK, or New Zealand. Proficiency in Python, MATLAB, or C++, and demonstrated experience in deep neural networks and mathematical optimisation, are essential. A commitment to equity
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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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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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, 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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media, including biological tissues. Expertise in optical simulation software (e.g., Zemax, COMSOL, FDTD solutions) and programming languages (e.g., MATLAB, Python, C++). Hands-on experience with optical
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
output, and strong computational skills (Linux, Python, R, HPC). You’ll bring experience handling large genomic datasets, developing analysis workflows, and contributing to funding bids. Strong teamwork