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Field
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programming languages like Python or Matlab environment. Knowledge for programming (python) would be a plus for the force curves interpretation since some codes have been developed for the 3D -AFM data analysis
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opportunities offered by cutting-edge CFD methods. Prior experience in CFD and/or CFD code development (e.g., Python, Fortran, C++) would be a considered as a strong asset. Selection process The recruitment
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about shape optimization and the new opportunities offered by numerical design in turbomachinery. Prior experience in CFD and/or CFD code development (Python, C++, Fortran) would be a significant
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selection criteria Experience with behavioural-related experimental work Knowledge on programming in R/Python is beneficial Personal characteristics To complete a doctoral degree (PhD), it is important that
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may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no
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researchers (Dr. Hatim Chergui, Dr. Pouria Khodashenas, and Prof. Cristina Cervelló-Pastor). Where to apply Website https://jobs.genome-msca.eu/ Requirements Research FieldTechnology » Telecommunications
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(https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and value diversity and respect in
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results in prior studies are a requirement (cum laude – distinction, or higher).•Experience with programming languages (such as R and/or Python) is an asset. •You can conduct independent research
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skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A certain affinity towards turning complex concepts into real-world practice is desired. The successful candidate is
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if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phet) You must