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learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse and inclusive work
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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Investigate the tactics used by the manufacturers of online disinformation Research the behavioural responses to misinformation Research the existing literature on these areas Carry out original research and
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. Familiarity with various data-based, data collection and data workflow Experience working with energy systems, simulation tools, or digital twin technologies. Background in research-to-industry integration
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will assist in the design and testing of the leaf replica, whereas the fabrication will be performed by specialists in the clean lab. You will leverage and develop your expertise to generate new
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advanced radome solutions using artificial dieletrics. Knowledge and assistance on D2V, D2D, RIS-assisted NTN For further information, please contact Eva Lagunas or Juan-Andres Vasquez (eva.lagunas@uni.lu
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entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our
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, to support our activities within the NEUROH-CHANGE project (Resilience of Neurological Health in Global Change: A One Health Approach). NEUROH-CHANGE is an interdisciplinary research program aimed at enhancing
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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