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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. Chalmers is dedicated to improving gender balance and actively works with equality projects
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of the position is method development. We are seeking a postdoctoral researcher to develop next-generation AI models of cellular dynamics, with a focus on scalable neural network architectures that represent
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generate significant societal impact. Read more about the division here Read more about SciLifeLab here Project description Cancer remains one of the leading causes of death worldwide, with many types
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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, tissues, and organs using antibody-based imaging, transcriptomics, and systems biology approaches. Since its launch, the atlas has generated one of the world’s most comprehensive open resources for spatial
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Biology, Umeå University), providing a unique opportunity to work with an emerging technology and adapt it to plant systems where standard solutions are not effective. The data generated will complement