190 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Leibniz
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prerequisite for graduation, however, the doctoral committee has to certify sufficient quality for a decent chance of publication). For more information on the program, visit this detailed article (in German
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development for lidar control. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed metals and aerosols and anthropogenic effects. Your
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be preferentially selected. In the case of degrees obtained abroad, proof of equivalence with a German degree must be enclosed. For further information, please refer to the website of the Central
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(Sangeeta.Sharma(at)mbi-berlin.de or sangeeta.sharma(at)fu-berlin.de ). The application deadline is May 1st , 2026. For further information about the position, please contact Ms. Prof. Dr. Sangeeta Sharma
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on in-situ hybridization, in–vivo electrophysiology data analysis with mice and is tightly linked to independent subprojects involving in-vivo electrophysiology in humans and high-resolution fMRI in awake
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/validated translations from existing studies, meta-information) and make it available to the community. The collaboration is interdisciplinary, involving social scientists, language experts, and language
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aptitude are also given preferential consideration. For more information about our certifications, please visit our homepage. If you have any questions, please do not hesitate to contact Prof. Matthias
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, proof of equivalence with a German degree must be enclosed. For further information, please refer to the website of the Central Office for Foreign Education (ZAB). The DSMZ is an equal opportunity
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, and work effectively in an intercultural context Experience in Indonesia, Colombia, and Spanish or Bahasa Indonesia language skills desirable Further information: For questions, please contact Prof. Dr
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to conducting animal experiments; FELASA course desirable, not required Experience with hiPSC cardiomyocytes desirable Independent data analysis and statistical evaluation (e.g. with Prism) Very high motivation