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: Python (Django), Java (Spring), TypeScript (React), Docker, Terraform, GCP. We maintain a DevOps culture and use Scrum for our day to day work. We have also adopted an "open by default" approach to new
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or Master's degree in Computer Science, Machine Learning or related field, or equivalent experience. Programming proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow). Solid
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, test automation, and CI. Services are deployed to cloud infrastructure in Docker containers. Our technology stack is: AWS, GCP, Terraform, Ansible, Docker, Python, Django, React, Material UI and
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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confidence in Python programming is essential. Practical knowledge of experimental implementation of optical imaging instrumentation and performing the associated data handling and analysis is also essential
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to OpenStack. Proven ability to work effectively within a team and individually. Basic knowledge of scripting languages primarily with Python & Bash. Experience of CI/CD principles, ideally but not essentially
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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. Previous experience in atomic physics/modelling is desirable, as well as knowledge of IDL/Python/FORTRAN/C++ programming. Further information about the Astrophysics Group can be found at http
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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programming languages, such as JavaScript, Python, C++, C, SQL, PHP, Java, HTML, CSS Experience using Cloud services, such as Google and Amazon web services Artificial intelligence, such as natural