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Lead the design and architecture of hybrid embedded–high-level software solutions; Develop and review software in modern C++ for embedded or semi-embedded platforms; Contribute to high-level components, integrations, tools or services in languages such
Design and develop AI models using Machine Learning, Deep Learning, Generative AI, and Natural Language Processing techniques. Train, test, and optimize algorithms and Large Language Models to ensure accuracy, scalability and efficiency
Oversee and maintain critical infrastructure supporting ChEMBL, SureChEMBL, ChEBI, OPSIN, and UniChem platforms, including Kubernetes clusters, virtual machines, database environments (SQL, MongoDB), transfer services (FTP, etc.), networking and compute
You will be designing and developing software and APIs for the UniProt data services and website, providing protein information to the scientific community and computational biologists. You will also be working in the design
The successful candidate will be working in the organisation of large data sets of proteins for thousands of organisms in the database. This is a challenging and central development which requires mathematical and statistical expertise as well as strong