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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
- Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress) Reference code: 50139753_2 Commencement date: 1st August 2025 or thereafter upon agreement Work location: Hamburg
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of innovative characterization techniques for electrocatalytic reactions Collaboration with data scientists and automation specialists to further develop a reliable, fast, material testing process Your Profile
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for calculation and design Design and optimization of a flexible oxygen supply Optimization of the pilot plant based on test and simulation results Development of design and process engineering solutions
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | 1 day ago
have not earned a Master's degree in an English-speaking country are required to demonstrate English language proficiency through either the Test of English as Foreign Language (TOEFL
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complemented by own lab testing e.g., SSRT incl. electrochemical charging. This includes supporting and setting up new HE testing facilities. This is part of a third-party funded project. We are looking for a
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for radioecology using positron emission tomography. Your tasks Developing and testing radiotracers for positron emission tomography (PET) to investigate microbial processes using synthetic organic chemistry and
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well as in fuel cells. Some of your responsibilities will include: Design and set-up of new testing equipment and procedures for application-driven characterization of new materials for water electrolysis
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reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl