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Field
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study leadership challenges, digital transformation of procurement tasks, and organizational interventions to support workforce upskilling. Your research will combine a variety of methods—from interviews
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Engineering or related disciplines•High competency in data analysis, numerical modelling, and programming•Strong written and oral communication skills•Relevant background in experimental geotechnics is desired
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person with strong communication skills and interests in taking part in national and international working groups and consortia around digital identities and payments Self-initiative, creativity, curiosity
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person with strong communication skills and interests in taking part in national and international working groups and consortia around digital identities and payments Self-initiative, creativity, curiosity
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person with strong communication skills and interests in taking part in national and international working groups and consortia around digital identities and payments Self-initiative, creativity, curiosity
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on topics related to the project (e.g., Youth Digitality and Urban Mental Health). The PhD student will be embedded in the program group of Persuasive Communication, and within this group will be linked
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History, Science and Technology Studies, Communications, or Digital Humanities with high academic merit—an average grade of 8.0 or above on the Dutch scale (or international equivalent) is preferred
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stipend at the UKRI rate (£20,780 in 2025-26 for full time students), and a contribution towards research and training costs; A personalised training programme, to develop research, communication
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on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 17 days ago
++ programming Low level digital audio systems Audio Digital Signal Processing Embedded Systems Good background in AI in general. Languages Fluent written and spoken English (all communication within the lab