152 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Leibniz
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opportunities for mobile working Modern equipped offices, social rooms, company health promotion, parent-child room, etc. for a pleasant working environment (details on our social benefits at https://www.lifbi.de
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As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the
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homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the Senckenberg Gesellschaft für Naturforschung.
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. https://jobs.zalf.de/jobposting/0fb81dd83f07b2a8b4fad2619cdfdef12fc45ef60 The deadline for applications is 10 DECEMBER 2025. If you have any questions regarding the research profile of this position
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. If you do not yet have a transcript evaluation, please note that you may have to request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab
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-destructive testing is a key element in modern multifunctional lightweight construction using fiber reinforced composites and hybrid construction methods. High degrees of freedom in material and component
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holds the Total E-Quality award. An overview of our measures for equal opportunities and to improve the compatibility of work and family can be found at https://www.io-warnemuende.de/equal
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the framework of de.NBI and ELIXIR Your profile: You hold a university PhD in bioinformatics, computer science or a related discipline experience in algorithms, software engineering and statistics You are able
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and