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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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architectures that integrate diverse biological data modalities. Multimodal representation learning: aligning and fusing information across modalities to capture biological systems at multiple scales. Agentic
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practical web development. Some technologies may be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Full-stack: able to own backend, data layer
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work, as well as record and report results with clarity and details. Proactive and motivated to learn and master new methods and techniques. Able to work independently and within a team. We offer
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on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
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be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science, machine learning
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architecture development: novel pretraining objectives, tokenization, and scalable architectures for biological data. Multimodal learning: representation learning across diverse biological data modalities
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with motor impairments. Please visit the .NeuroRestore website www.neurorestore.swiss to learn more about our mission. Main duties and responsibilities Supporting .NeuroRestore researchers and clinicians
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reinforcement learning pipelines for the Apertus project. Apertus is trained and developed on Alps, the Swiss National Supercomputing Centre’s supercomputing infrastructure. The role requires someone who is
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Data Science Center (SDSC) is a national research infrastructure in data science, machine learning and artificial intelligence (AI), founded by EPFL and ETH Zurich. Its mission - to enable data-driven