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process. Together, these innovations aim to make column generation more practical for solving real-world, large-scale optimization problems. These innovations will be tested within a structured software
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team consisting of scientific staff and PhD candidates from different disciplines and will collaborate with a small team of software developers working on AI prototypes and the required supportive
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Experimentally validate and improve the developed channel model with over-the-air terrestrial and satellite test campaigns Carry out research in other related areas Disseminate results through scientific journals
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-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Are you motivated to take a step towards a doctorate and open
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Degree Dr-Ing Doctoral degree or degree awarded by Saarland University or RPTU Kaiserslautern-Landau Course location Saarbrücken In cooperation with Max Planck Institute for Software Systems
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of these terms encompass a range of evidence-based strategies for dealing with distress in the short to long term (Mansell et al., 2020). The course gives them experience in using many of these strategies live and
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experimental data from material characterization and thermal expansion tests. Complete the doctoral education until obtaining a doctorate. Required selection criteria You must have an academically relevant
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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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their research in the framework of their PhD. A bilateral agreement between your home institution and Ghent University in your field of study is not necessary but optional. However, if you want to follow courses
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | about 19 hours ago
Degree Dr-Ing Doctoral degree or degree awarded by RPTU Kaiserslautern-Landau or Saarland University Course location Kaiserslautern In cooperation with Max Planck Institute for Informatics, RPTU