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: Familiarity with CI/CD pipelines, GitOps tools (ArgoCD, Flux), monitoring frameworks (Prometheus, Grafana), and scripting in Python Research Software & Data: Hands-on experience with database management
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demonstrated experience in bioinformatics and/or advanced statistical analyses (e.g. Python/R, Linux environment). Evidence of capacity to problem-solve and troubleshoot independently, with a solutions-focused
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, JavaScript, PHP, or Python) to improve data access and dissemination. Identify opportunities to optimise internal technical tools and database performance to drive efficiency for the university wide service
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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with
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-robot interaction. Technical Skills - Programming in C++ and/or Python. - Proficiency in ROS/ROS 2 or equivalent robotics middleware. - Experience with simulation environments (Gazebo, Unity, or similar
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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and budget management, strong technical skills in SAS, STATA, R, and Python, and excellent interpersonal skills to build effective relationships across staff, students, and external stakeholders. A
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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in Python and relevant research toolchains for machine learning, image processing, and reproducible analysis · • Experience with data governance, ethics, secure health data environments