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adaptability at the product-scale through material science and design. Main duties and responsibilities As a research collaborator, you will be expected to: Conduct cutting-edge research including experimental
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and associated environmental impacts. Contribute to short-term (2026 to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against
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designing and running large-scale experiments, developing fine-tuning and reinforcement learning approaches, and studying how LLMs can generalize more reliably across tasks and reasoning domains. We
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of health and disease. We are home to more than 67 research groups and over 800 employees across six locations in the heart of Basel. Our collaborative and international environment fosters innovation
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Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research projects
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an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and reconstruction framework that exploits sparsity of the underlying dynamics and microchip sample
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processes . Each postdoc will lead their own independent research direction, with an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and
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an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and reconstruction framework that exploits sparsity of the underlying dynamics and microchip sample
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-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post
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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines