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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personal@hzdr.de Website https://www.hzdr.de/job2147e Requirements Additional Information Website for additional job
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monthly salary as special payment („Christmasbonus“). 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
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language) Contact information of 3 referees All documents have to be submitted in English and copies of university transcripts also in their original language. Where to apply Website https
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. Seaborn's research. Further information on the PhD in Computer Science programme can be found at: https://www.postgraduate.study.cam.ac.uk/courses/directory/cscspdpcs/apply All applications should be made
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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“). The monthly salaries in euros can be found on page 66 of the PDF download: https://go.fzj.de/bmi.tvoed Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is
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Status: Open Applications open: 1/04/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens