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diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate their role in disease. For more information, please visit our website
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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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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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· 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 workforce
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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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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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interfaces to enable their exploratory and computational analysis. Conduct original data-driven historical research on newspaper and radio sources Contribute to the development of innovative computational
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Location: Esch-sur-Alzette, Luxembourg 4364, Luxembourg [map ] Subject Areas: differential geometry, and smooth dynamics and transformation groups Appl Deadline: (posted 2025/01/15, listed until 2025/09/04
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Please prepare the following documents in English: Curriculum Vitae (studies with grades, work experience, publication list) Cover letter Abstract of your thesis List of 3 referees description of possible research interests/ideas Early application is highly encouraged, as the applications will...
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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