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learning or deep learning, preferably with transformer architectures Experience in probabilistic modelling or Bayesian statistics Programming skills in Python, preferably with PyTorch or similar frameworks
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services allowing integration of large language models, foundation models focused on life science data, and narrow models in complex research workflows (for example, through AI agent architectures
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planning and technical design to implementation and maintenance. Contribute to the technical architecture of SciLifeLab’s infrastructure. Engage in requirements engineering and define technical standards
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learning architectures trained on genomic data. The lab is also open to discussing research projects based on the candidate’s strengths. Who we are looking for The following requirements are mandatory: a