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the field of structural engineering are essential. Excellent knowledge of English (oral and written) is mandatory. Knowledge of German would be an advantage. Our offer We offer a multifaceted, challenging
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of shape memory alloys, would be an advantage. A strong desire and motivation to find cutting-edge and innovative solutions in the field of structural engineering are essential. Excellent knowledge
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excellent infrastructure. The work will be carried out at Empa Dübendorf under the supervision of Prof. Dorina Opris. You will be registered as a PhD student at ETH Zurich in the Department of Materials
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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and
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synthesis and characterization. Familiarity with cell culture and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English
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and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned
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research and collaboration. Our offer We provide an international and stimulating research environment with excellent infrastructure for personal and professional development. You will be employed full-time
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cooperative personality. Travelling between the research institutions is mandatory. Excellent English knowledge (written and oral) is required, German is an advantage. Our offer We offer an interesting research
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concepts. Your profile You hold a Master’s degree in chemistry, materials science, or a related field, experience in electrochemistry or batteries is an advantage. Excellent English skills are required. Our
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- or nanoplastics, online or offline ice nucleation experiments. A good knowledge of programming languages such as Python, R, MATLAB or IGOR is expected. Excellent English skills, both in verbal and written