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a postdoc in this project, you will: Establish and characterize human neuron-tumor co-cultures using iPSC-derived neurons and patient-derived GB models on HD-MEAs Perform longitudinal
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position fora PostDoc. Project background The project is embedded into the EC-sponsored consortium HydroCow with partners from the UK, German, and Finland covering competences in metabolic flux modelling
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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The MAS MTEC programme at ETH Zurich is currently undergoing a strategic transition. As part of this phase, we are seeking an Recruitment & Admissions Manager to strengthen and further develop
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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction