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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26729 Postdoc - Molecular Biology Research in AML (f/m/d) Stellenanzeige merken Stellenanzeige teilen
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system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM Scientific Director Prof. Dr. Aránzazu del Campo (aranzazu.delcampo(at)leibniz-inm.de
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for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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and economics (Diploma, Master) or engineering, environmental sciences, psychology, sociology or computer science; in-depth knowledge of sustainability assessment methods (e.g. Life Cycle Assessment
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, as well as transcripts and a selection of recent course evaluations online at: https://berufungsportal.uni-frankfurt.de by 27.02.2025. If you have any questions, please contact the Director of
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material properties and the durability, safety, and functionality of technical systems. We identify ways and solutions to increase energy efficiency and sustainability. Materials are key to achieving climate
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
for Extraterrestrial Physics can be found at http://www.mpe.mpg.de Please contact Dr. Burwitz if you have any questions. Your application We look forward to receiving your complete online application by February 15
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conducted in German. Full-time / part-time full-time part-time (study alongside work) Programme duration 9 semesters or more Beginning Winter semester Additional information on beginning, duration and mode
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
Your Job: The Electrocatalysis research department (https://www.hi-ern.de/hi-ern/Electrocatalysis) is looking for three PhD students, which research area is to investigate fundamental relationships
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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk