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) environments, GPU-enabled systems, and cloud-based resources for large-scale data analysis and model development. Using these rich data resources, we develop and apply advanced AI/ML methods to model tumor
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systems • Strong computational background Preferred Qualifications • Experience with GPU programming, shaders, or advanced rendering techniques • Experience integrating external APIs or live data
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programming, experience with Git and modern deep learning frameworks (PyTorch/Jax/TensorFlow) Ability to work independently and in collaboration with researchers, engineers, and domain experts. Strong
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. Our research facilities include modern GPU computing resources, shared data and annotation infrastructure and access to relevant text corpora. Principal supervisor: Associate Professor Desmond Elliott
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the investigation of colloids and interfaces in food science and pharmacy ( https://pharmacy.ku.dk/research/caiff/ ). Expected start date is 1 January 2027 or as soon as possible thereafter. The