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at other institutions. The project includes the following secondments: three months at Anhalt University of Applied Science (Dirk Benndorf’s lab) in Köthen, Germany and two months at the de.NBI offices
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well as technology-based, psychological assessment Good knowledge of item response theory Proficient use of statistical software (particularly R) Publication experience in English, peer-reviewed journals
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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cloning). Bacterial production of engineered proteins in E. coli or other microorganisms. Protein purification and characterization via IMAC, SEC, SDS-PAGE, WB, etc. Analysis of bacterial longevity and
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metabolomics using state-of-the-art LC/MS technology (Orbitrap). Experiment planning. Deriving biological insights from LC/MS data. Present and publish scientific findings. Your qualifications and skills: You
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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in publications support in teaching at the University of Bremen participation in the acquisition of third-party funded projects What we expect from you: successfully completed studies in engineering or
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available starting September 1st, 2025, and initially limited to two years with the possibility of further employment. The position requires proven experience in T cell immunobiology and T cell engineering
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ecology, and psychology in Göttingen and across Germany. Applicants are required to have Master's Degree in data sciences, neurosciences, engineering, biomedical sciences, physics, or related fields. Very