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range of disciplinary backgrounds, including but not limited to environmental policy, political science, science and technology studies, public policy, data science, computer science, and international
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and refactoring source code for computational and data science applications both on the methodological and implementation side or deploying and integrating applications to adequate compute environments
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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, or a related field Programming experience (e.g., Matlab, Python) Experience with at least one electrophysiological recording method or related experimental method listed above The ability to design and
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conditions. We seek individuals who will develop and lead a research program at the forefront in the broad area of neuroscience. Successful applicants will join a faculty working in areas such as cellular
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is set to begin on July 1st, 2025, with flexibility regarding the start date. Profile We are looking for candidates with the following qualifications: A master’s degree preferably in Computer Science
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
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for global society and future generations. A tailor-made program for your professional development. Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or