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). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics
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, availability, and cost efficiency while identifying and addressing issues or bottlenecks. Drive automation to streamline deployment and management of cloud resources in collaboration with internal stakeholders
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, culture, and genetics services in a controlled-environment facility. Support research activities by maintaining equipment and supplies and ensuring compliance with the OGTR regulations. Assist in training
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understanding of clinical compliance. Ability to manage clinic budgets and contribute to strategy development. Desirable: Infection control and digital marketing experience. Special Requirements Current Working
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the collaborative process inherent to an agile working environment, utilising version control, test-first development, issue tracking, and wikis to ensure high-quality project outcomes. Additionally, your role
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of venomous arachnids Experience with handling and HPLC fractionation of animal venoms Skilled in culture of mammalian cell lines Skilled in automated patch-clamp electrophysiology (experience with the Sophion
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|| #LI-LM1 || #LI-Onsite || Keywords: System Analysis | Change Management | Data Integration | Workflow Automation | User Interface Design | IT Consultant | Technology | System Implementation | Business
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. The Power Systems team contributes to this mission through applied research in modelling, control, and optimisation of energy networks. As a Senior Power Systems Research Engineer, you will work on advanced
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hardware elements with PC controllers. We will tailor the role to your strengths, with opportunities to specialise in areas such as software, electronics, or mechanical design depending on your experience
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. Proficiency in scripting (e.g., Python, Bash) and working within Linux-based computing environments. Experience with high-performance computing resources and automated data pipelines. A track record of