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Specifications. The PhD topic consists of two parts, the weighting of which can be adjusted. First, natural frequencies of different UAV categories for different power settings shall be modelled. Second, based
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in near real-time. This includes exploring and advancing electrochemical sensor technologies. The PhD project will lay the foundation for the digital transformation of water infrastructure, enhancing
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: Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) Pay grade: 13 TVöD Place of work: Berlin and Hannover Limited for three years Application deadline
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Description Microplastics are ubiquitous in the environment due to their versatility and the large quantities in which they are produced and used. At the same time, global consumption and industrial production continue to rise – not only of plastics but also of synthetic chemicals. As a result,...
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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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Description In the Leibniz Institute of Plant Biochemistry, the independent research group Receptor Biochemistry invites applications for a PhD position in (bio)chemistry (m/f/d) (Salary group E13
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strategies targeting R-loop-associated malignancies. See also https://www.imb.de/wang For a more detailed description of the project including relevant literature, see here[pdf-Datei] . This PhD position
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Description In the Division of Diagnostics and Differential Psychology, we investigate systematic patterns and processes of personality development and personality-context transactions, with a focus on life events and romantic relationship dynamics. The assessment methods include longitudinal...
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processes that produce energy and raw materials. The Department of Radiation Research on Biological Systems is looking for a PhD Student (f/m/d) to investigate the impact of ionizing radiation on mammalian
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance