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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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framework will be developed with a specialized architecture to efficiently connect data with specific gene perturbations. A system for inferring the perturbation design based on gene expression and chromatin
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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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dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures
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world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. What KTH
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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
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framework will be developed with a specialized architecture to efficiently connect data with specific gene perturbations. A system for inferring the perturbation design based on gene expression and chromatin
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. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural remodeling – including changes in extracellular matrix composition, tissue mechanics, and spatial