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://www.microman4health.eu/ ). The described open position has the topic “EDM Machining-State Analysis from Discharge Signal Data” and is supervised by Prof. Dr. Andreas Schubert. This network focuses on developing data
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) / PhD Position (m/f/x) (100 %, salary plus allowances package according to the Marie Skłodowska-Curie Actions (MSCA) – Doctoral Networks rules) for a period of 3 years. Selection is based on suitability
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
facilities. Analyze experimental data and develop or adapt data-analysis workflows, including scripting in Python or comparable tools. Combine spectroscopic information with catalytic performance data and
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menopausal women.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years
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the Technical University of Munich (TUM), the network brings together ten universities with regulators, public agencies, international organisations and research networks. The doctoral projects investigate how
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well in a team Communication skills in an international work environment The following would also be advantageous: Experience with network analysis in microbial ecology Knowledge of the reconstruction
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Strong organizational and teamwork skills, flexibility, openness, and good communication abilities Basic bioinformatics skills and experience with single-cell sequencing data analysis FELASA certificate
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and relevant experience may include cell biology and mammalian cell culture, artificial cells, DNA nanotechnology, reaction networks, microfluidics, biomaterials, or image analysis. We expect excellent
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of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantitative Analysis of Carrier Dynamics in Operando Photovoltaic Devices Using Analytical Electron Microscopy