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learning with the physics of laser–matter interaction. Your developments will be directly validated through multiple experimental runs on state-of-the-art laser processing equipment. You will work closely
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Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines
analytics using R. Strong written and verbal communication skills in English. Familiarity with LaTeX is a plus. Must be currently enrolled in a master's program at the University of Basel. We offer you
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society from analytical and empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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experience in battery research and proficiency in Python programming is an advantage, but not a requirement. Our offer You will join a dynamic young international research group working in state-of-the-art
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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care work, part-time employment, or career breaks and consider applications proposing joint research in job-sharing. With its early-career fellowship program, the Collegium nurtures an environment
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directly to the AXA RF, they first have to submit a short proposal to the UZH Research & Grants Office. In case multiple candidates are interested to apply, the UZH Research & Grants Office has to pre-select
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-research/working-environment/family/childcare.html) and attractive pension benefits (https://www.publica.ch/en/about-us/pension-plans/eth-domain-pension-plan) > Working, teaching and research at ETH Zurich
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials