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components from scratch. The scarcity of resources and extreme conditions on the red planet serve as a setting to develop a new paradigm of sustainability that will lay the foundations for a fossil-fuel-free
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not be considered. The application procedure takes place in two stages: After you have created a personal account, you can begin to fill in the application form and you can upload your documents. It is
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of the project InsAIderKnowledge funded by the Georg-Nemetschek-Institute for the duration of 48 Months. The candidate has the opportunity to pursue a doctoral degree (PhD). Renumeration is 100% TVL E13 according
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for collaborative research with PhD students, including their supervision and teaching within the MuSES project. Application Process Interested and qualified individuals should submit the following: A curriculum
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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well as data processing meth-ods for analyzing block-like structures made of limestone and granite, Evaluation of data using acoustical imaging techniques and passive seismic monitoring, Carrying out
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properties Physics » Solid state physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 15 Oct 2025 - 23:59 (Europe/Berlin) Type of Contract
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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spectroscopic and imaging methods for the contactless detection of plant conditions. The position is being advertised as part of the joint project ‘LaserRoots: A new way for the sustainable production of climate
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization