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, including board meetings and training events You have PhD level or equivalent qualification in computational, biological or related scientific discipline Experience of working in the field of non-coding RNA
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large language models. Proven understanding of database concepts (differences between graph/relational/non-relational). Proven familiarity with cloud computing platforms (e.g., AWS, Azure, GCP), Azure
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research community. On the infrastructure side, we provide High Performance Compute, private and public cloud infrastructure and Trusted Research Environments as the core building blocks of modern, data
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monitoring cloud hosting metrics. Throughout the process, you will document application functionality appropriately and gradually take on responsibility for small enhancement projects. About You We are looking
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standards and testing Experience in cloud computing (infrastructure as code, virtualisation, container orchestration) Experience with data manipulation and/or Artificial Intelligence/Large Language Models
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research community. On the infrastructure side, we provide High Performance Compute, private and public cloud infrastructure and Trusted Research Environments as the core building blocks of modern, data
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with cloud computing platforms (e.g., AWS, Azure, GCP), Azure preferred. Experience with version control tools (i.e. Git). Experience with dataset and model versioning tools is a plus. Experience with
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Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide
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be a need to implement interventions that delay warming effects until effective CO2 reduction strategies are in place. Marine Cloud Brightening (MCB) and Marine Sky Brightening (MSB) are approaches
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., source control, code review and continuous integration/deployment. Desirable · Managing a Linux-based system, using cloud computing resources or computer clusters. · Experience in MATLAB