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framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English are required. The candidate must clearly document a high degree of self-motivation in the application. Great
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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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frameworks. Ability to conduct independent research and collaborate in an interdisciplinary environment. Proficiency in written and spoken English. Other desirable qualifications: Experience working with
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datasets into scalable, standardized, and AI-ready frameworks for computational modelling. Working in SciLifeLab’s highly interdisciplinary environment, where imaging, molecular data, and computational
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applied in future studies of conifer systems. Within this framework, the scholarship offers strong opportunities to develop advanced expertise in experimental molecular biology, method optimisation and