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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project seeks
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physiological acquisition systems; real-time data acquisition; motion capture or positional tracking; Bayesian or hierarchical modeling; reinforcement-learning models; effort-discounting or decision-making models
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datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with an emphasis on trajectory inference, regulatory dynamics, and cell fate decisions. A key goal is to integrate multimodal data
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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be related to the characterization and circular performance assessment of building envelopes in Europe, with a scope ranging from construction details and building archetypes to large-scale inference
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Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a
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This position is funded through the University of Basel's Stay on Track program, which aims to support female postdoctoral researchers returning to work after maternity leave. Starting on: 01/09
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and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a multidisciplinary