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degree or equivalent in Materials Science or Electrical Engineering or Physics, a very good knowledge (written & spoken) of the English language. Strong motivation and ability to collaborate in
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Job description:Title: DC6, PhD fellowship in Improving Predictive Power: Addressing Identifiability Challenges in Microbial Community Models.Researcher profile: Doctoral candidate.Type of contract
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Infrastructure? No Offer Description The MSCA-DN ‘Understanding Latin American Challenges in the 21st Century (LAC-EU)’ invites applications for 12 PhD Fellowships. Social, political, and cultural transformations
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Skills/Qualifications Must hold a Master’s in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field Track record of research excellence Good communications
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than 12 months in the 36 months before the recruitment date. Master Degree (or EU-equivalent) in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, Physics or a related field
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to the implementation of developed tools on the in-house LSQUANT code (www.lsquant.org) and computing architecture of TCN/ICN2 Requirements: Education: PhD in physics or electrical/ mechanical engineering Knowledge
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). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different areas of nanoscience and nanotechnology. Job Title: PhD Student