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) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science
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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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understanding of effects related to high electric field strengths and voltages and their application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission
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the MSc MTEC program. Access to a vibrant, interdisciplinary academic environment with excellent collaboration opportunities. You will be part of ETH Zurich’s network of educational specialists, providing
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programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
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university. Experience working with scientific data, demonstrating a methodical approach. Basic Python programming/scripting skills for data manipulation and automation. Meticulous attention to detail
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student at ETH Zurich or another Swiss university. Proven experience in software development. Strong Python programming skills, with demonstrable experience in several of the following areas: GUI
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fields Good knowledge of programming languages such as R, Python, Matlab, Mathematica or equivalent Experience in data analysis and parameter inference methods is a plus Experience in teaching and interest
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programming skills (preferably Matlab, or Python) Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and fluency in English (both written and spoken