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, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;Excellent skills in GIS and Python are an asset ;Excellent communication and collaboration skills
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will be developing control electronics based on Arduino or Raspberry Pi and write the corresponding software, ensuring significant automation and simple user interfaces such that other researchers can
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to contribute to the design and collection of future YSL waves and disseminate findings to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral
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advanced grid-connected hardware architectures. · Implementing control loops for grid-connected power converters. · Developing gird-following and grid-forming functionalities
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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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of two referees, with an indication of their links to the candidate (e.g., supervisor of the PhD thesis) Early application is highly encouraged, as the applications will be processed upon reception
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workshops, seminars and conferences Supporting a small team of PhDs related to the project Publication of articles in scientific reviews and contributions to conferences Assisting with teaching activities
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Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
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and will employ one PostDoc and one PhD student.
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publications. Implement and open-source proof-of-concept software tools. Collaborate with other researchers of different projects and disseminate the outputs at conferences, workshops organized by the consortium