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work in the context of NCCR Automation on the broad theme of Responsible Automation (how to align control and design objectives with societal interest). The position is available immediately. The
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in multiple programming languages, in particular Python. Experience working with plugin systems is a big plus. Familiarity with continuous integration pipelines is an asset. You are fluent in English
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of autoimmune diseases affecting the nervous system, particularly multiple sclerosis and myasthenia gravis. Your position The goal of the project is to understand the cause of multiple sclerosis, focusing
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Innovation in Clinical Pharmaceutical Sciences (CRISP ), a centre uniting multiple academic groups from CHUV , Unisanté and the Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO ). Digital
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for effectively engaging with researchers, educators, and administrative stakeholders You are a proactive and independent worker with the ability to organize and prioritize multiple tasks You show genuine interest
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and planning recommendations aligned with global climate adaptation and mitigation strategies. Experienced in working with government agencies, NGOs, and international organizations to implement policy
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experimental protocols in close collaboration with SCF microscopy experts to align analysis strategies with image acquisition parameters. Train users in the use of existing analysis software (Imaris, Huygens
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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learning (RL), such as (but not limited to) Theory of online learning, reinforcement learning, and data-driven control Learning in games, and multi-agent RL RLHF and alignment in LLMs Representation learning
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an interdisciplinary approach to understanding blockchain systems as complex socioeconomic-technical networks. These systems demonstrate sophisticated emergent properties across multiple dimensions: technical consensus