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participants make effort-based decisions and perform calibrated actions while physiological and movement data are continuously recorded. Participants will complete immersive behavioral tasks designed to measure
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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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interfaces: integrating multimodal foundation models into reasoning and decision-support systems. Translational applications: bridging multimodal foundation model research towards impact in early drug
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visualisation and digital-twin tools to support analysis, scenario exploration and urban decision-making. Contribute to the co-organisation of the design fiction workshops in the three cities and to
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. Agentic interfaces: integrating foundation models into reasoning and decision-support systems. Translational applications: bridging foundation model research towards impact in early drug-discovery and
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into a working MVP fast enough to support the next grant application round. Main duties and responsibilities Rebuild the RVI scoring engine as clean, standalone Python code, implementing the validated
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electronic boards to mechanical design), make demonstrations to lab visitors and at external events. Profile Completed Masters or PhD in Robotics, Machine Learning or a related technical field. You have a
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Adaptable, service-oriented, reliable, with a hands-on approach to develop effective partnerships and collaborations Skills Ability to build strong relationships with diverse stakeholders. Proactive and
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are important for young and ambitious group. In return, you get to design your own experiences! Enjoy collaborations with various other scientific groups, take on a leading role in international teams. We offer A
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Teaching Program Coordinator to manage the operational backbone of their teaching portfolios. You will be the central point of coordination across three courses: CS-552 Modern Natural Language Processing CS