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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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– Ref No. 11/2025 ): Cover letter detailing your previous research experience and motivation CV with publication list (if applicable) Academic transcripts (Bachelor & Master) Contact details of two
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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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Doctorates at the University of Tübingen Funding and support for junior researchers Partner Institutions Innovation Back Technology Transfer Office Startup Center Industry Liaison Office Support Back Research
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engineering, electronics, communication engineering, information technology or comparable with a master's or diploma degree Experience in circuit and layout design with Cadence Virtuoso, PSpice, Tanner EDA
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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well as in fuel cells. Some of your responsibilities will include: Design and set-up of new testing equipment and procedures for application-driven characterization of new materials for water electrolysis
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the perspective of energy infrastructure. Using the existing energy system models of ICE-2, you will develop scenarios to analyze the effects on the German energy system and its robust design in a European context
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Your Job: This project involves laboratory experiments with three different crowd settings: a) a large group waiting in close proximity, b) a queue, and c) a crowd moving through a bottleneck. Using