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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
topics that focus on the interplay between genetics, metabolism, and information processing. Specifically, the projects in the limits2vision programme aim to systematically unravel the mechanisms
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in various plant species. All available projects are detailed at www.mpipz.mpg.de/imprs/proposals where applicants will also find more information about the host groups. YOUR PROFILE | You are a
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candidates are invited to Berlin for interviews between the 23rd and 25th of March 2026. Successful candidates start their doctorate between May and November 2026. Check our website for more information
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to online interviews in February/March, followed by interviews in Berlin. Successful candidates start their doctorate between May and December 2026. For more information on available projects, eligibility
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; for more information, please refer to our website ( www.solvation.de ). WHAT WE OFFER: You will be embedded in a high-profile research environment with access to the latest research infrastructure. You will
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or more. Selection Applications are reviewed and selected by a DAAD selection committee. The approval of the K.C. Wong Education Foundation is then required. Further information The DAAD will not consider
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distinct mutations can lead to similar developmental issues. More information can be found on our homepage . Project Summary Core gene expression machineries are highly conserved across species, yet tissue
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computational scheme which allows efficient and accurate computer simulations of biofabrication. Using this novel tool in collaboration with our experimental colleagues we will thrive to understand the physical
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Spectroscopy, Raman Spectroscopy, Spectroscopic Ellipsometry, …) Ultrafast Femtosecond Time-Resolved Pump-Probe Spectroscopic Ellipsometry and Time-Resolved Photoluminescence Data evaluation (commercial software
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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS