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broader research agenda focused on how digital infrastructure and computational tools can support (or hinder) progress toward effective, coordinated, and equitable biodiversity governance. Research topics
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
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initiatives at the ETH AI Center. Plan, organize, and run the entrepreneurship contributions at events such as the AI + X Summit and AI House Davos – including logistics, scheduling, communication, and onsite
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international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation
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an idea to impactful, tangible results. You must bring the following: you have a PhD degree or plan to complete one soon you are enthusiastic about pursuing an academic career you have skills and knowledge
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV Publication list Contact details of two refereesPlease send your application to...
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deficient waters of the eastern tropical Pacific, where a large portion of the marine N2O is emitted into the atmosphere, but we plan to extend this also to other regions of the world. Ph.D. position 2
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Curious? So are we. We look forward to receiving your online application with the following documents: Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further information...
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with