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communities Communicate mission goals, progress, evidence and lessons learned at field events, workshops and conferences Guide and train students, researchers and external contributors where required and
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sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and
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to learn Working proficiency in English and French (written/spoken) We offer Excellent international working environment with access to world-class facilities A young, dynamic, flexible and highly motivated
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The work will deepen your understanding of the chemical and plastics industry and its techno-economic and environmental assessment You will learn to identify optimal technologies that meet environmental
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support, and related areas You will acquire, clean, analyse, and interpret data, prepare scientific manuscripts, contribute to non-scientific outputs, and present your work at national and international
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weekdays. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and
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learn important competencies for their future. This is why we’ve created an ecosystem to inspire students (Bachelor, Master, and Doctoral students) to get started and explore the real need behind
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of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website
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of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website
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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be