81 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" scholarships at Forschungszentrum Jülich in Germany
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environment with equal opportunities in which everyone can realize their potential is important to us. Further information on diversity and equal opportunities: https://go.fzj.de/equality
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scientific organisation. Where to apply Website https://recruiting.fz-juelich.de/jobposting/61539e3cfcae4675ddacb6ee34238e8ddc0… Requirements Additional Information Website for additional job details https
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data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/ The position is placed at the Institute for Advanced
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of the development of new energy applications such as fuel cells and electrolysers. You will integrate and operate automated laboratory equipment to ensure reproducible and data-rich experiments. Close collaboration
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month’s salary. All information about the TVöD-Bund collective agreement can be found on the BMI website (pay scale table on page 66 of the PDF download): https://go.fzj.de/bmi.tvoed PERSPECTIVE
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the base salary may be possible. All information about the TVöD-Bund collective agreement can be found on the BMI website: https://go.fzj.de/bmi.tvoed (pay scale table on page 66 of the PDF download). LEAVE
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and and on the targeted
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monthly salary as special payment („Christmas bonus“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt Further information on doctoral degrees
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team