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Field
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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Engineering, Information Systems, Mathematics, or a related field. Strong knowledge of software engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills
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us your application documents, please confirm that you have read our privacy policy and that you agree to the processing of your personal data. Please use the text module in our privacy policy
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personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection
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deadline for your application at BIGSAS. Applicants can apply to the graduate school during the course of the whole year. For more information about our application requirements and process, please visit our
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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information about the positions and the recruitment process in the Call for Applications.
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at varying PBF-LB fabrication process parameters (at Uppsala University), collect experimental data on microstructure, mechanical and corrosion properties; ii) determine, using sensitivity analysis, impact of
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mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel
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from space missions to understand the processes and timescales of formation of the Solar System and planets. Development of new geochemical tracers and mass spectrometry techniques with applications