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Computational biology or Life Cycle Assesment Results-oriented and cooperative personality Background in computational biology,bioinformatics, life cycle assessment, hazard assessment or a related field Strong
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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