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complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich
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100600 Beijing, VR China Tel.: +86 010/6590 6656 Mail: research.beijing@daad.de Homepage: DAAD Branch Office Beijing Submitting an application General information on the application via DAAD portal Click
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in a quantum microscope. Your tasks Planning and execution of optically-detected magnetic resonance experiments with diamond Analysis and modelling of the experimental data Carrying out literature
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online. Please note: If you have any technical questions or problems your local information and advice centres could not help you with, please do not hesitate to contact portal@daad.de via e-mail. Please
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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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institutes at TU Clausthal, hosting several research groups. For more information about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de/ Your responsibilities include: Research
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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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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StreetWilhelm-Johnen-StraßeZipcode52428CityJülich Contact details Web: https://www.fz-juelich.de/de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful
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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