931 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" positions in Germany
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) Number of offers available1Company/InstituteTUHHCountryGermanyGeofield Contact City Hamburg Website https://www.tuhh.de/oem Street Eissendorfer Str. 38 Postal Code 21073 STATUS: EXPIRED
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(https://www.physik.fu-berlin.de/en/forschung/dahlem-center-for-complex-quantum-systems/index.html ). The research focus of the Dahlem Center is quantum theoretical solid state physics in its entire range
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European Organisation for Astronomical Research in the Southern Hemisphere | Garching an der Alz, Bayern | Germany | 27 days ago
). This instrumental project is directly aligned with the ongoing upgrade of the VLTI infrastructure, including the recent commissioning of GRAVITY+ (https://www.eso.org/public/news/eso2519/ ). The project addresses
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and mechanical studies of molecular motor proteins at the nanoscale Required Documents Required Documents CV Certificates Motivation letter Application Application https://www.cens.lmu.de/en/support
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checking interview transcriptions), qualitative coding and both quantitative and qualitative data analysis; literature research; preparing publications and other dissemination efforts. 2. Teaching related
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(RCB), the research focus “Ribonucleases” (https://go.ur.de/rna-biologie ) and the Regensburg Center of Ultrafast Nanoscopy (RUN) also provides a wide range of opportunities for collaboration. Active
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personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3305/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp-5128.de.umantis.com
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at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en
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opportunity to be part of the project “Bavarian Artificial Intelligence for Insect Monitoring” (https://go.ur.de/baimo ), which investigates the effects of climate change on insect populations as part of
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2