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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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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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beyond the current state of the art are essential. This PhD position is part of a research project conducted in close collaboration with leading Swiss industry partners, offering a unique opportunity to
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technological innovation. Your profile Applicants have a PhD in English, American Literature, or related fields, and a number of publications. Please submit a proposal for your own four-year research subproject
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. Profile Education & Experience A PhD in a relevant field with experience in industry is highly preferred; (outstanding younger professionals will also be considered and evaluated based on profile.) 2-5
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to other non-technical audiences on occasion. Profile We are looking for candidates (m/w/d) with the following profile: Master’s degree in computer science, Mathematics, Physics, or similar field (PhD a plus
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Center, the ETH AI Center, and large industry partners. Advising PhD and Master’s students will be an integral part of your role. You will also be involved in some of the group’s teaching activities and
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. Conduct statistical analyses of the acquired datasets. Contribute to the publication and presentation of research findings. Assist in the supervision of Ph.D. students. Profile Prerequisites: PhD. degree in
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with graph-based database software. . Job description Identifying public and commercial data sources relevant to pharmaceutical production, trade, and supply chains. Writing scripts for web scraping and
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responsible for deploying, analyzing, and maintaining the measurements as well as publishing scientific results. They will oversee MS, PhD, and postdoctoral researchers and are expected to apply for external