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. Profile You hold a Master's degree in a relevant field such as data science, computer science, physics, computational biology, or biomedical research. You are proficient in Python programming, with
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, and characteristics: A master’s degree in either chemistry, chemical engineering, computational science, materials science, physics, or related fields, or expectation of obtaining such a degree before
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The Pioneer Fellowship Deep-Tech Incubation Program is already a highly successful program for ETH spin-offs and has been running for 15 years. ETH start-ups, on the other hand, are technology companies based
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/egalite . Desired profile: PhD in biomedical sciences, computer sciences, mathematics, physics or engineering Successful track-record of research achievements, original ideas and successful funding
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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automating the detection of individual tree species in forests using deep learning. Specifically, you will: Focus on the application of deep learning techniques in Python to process spatial and aerial data
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on Facebook. If you have any questions regarding the application process, please feel free to contact us at makerspace@sph.ethz.ch . We would like to point out that the pre-selection is carried out by
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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to engage a Project Coordinator ‘Curriculum Revision’. The Bachelor curriculum revision process was initiated by the Department in January 2023 and the Bachelor programme will start in HS 2025. Simultaneously
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100%, Zurich, fixed-term Prof. Dr. Kent Warren , head of the Solar Energy Engineering Laboratory in the Department of Mechanical and Process Engineering at ETH Zürich, invites applications for a