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insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and computational models that describe how trees exchange carbon, water and
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also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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institutions, Luxembourg's leading international financial centre and its vibrant business community. Institutional and private sector partnerships, sponsored Chairs and a growing network of international
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live in. Your role Within the frame of the FNR-CORE funded project ENER-G (Empowering Networks of E-buses for Resilient and Green mobility), a doctoral research project is framed. The PhD topic is around
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Independent supervision of students and doctoral candidates Support in the further development of the Bachelor en Formation Pédagogique program and in the expansion of networks with stakeholders and partners
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network of collaborators Other valued appreciated: autonomous, proactive, focused on the research program, deliver on time Languages: English Benefits package Subsidized meals Partial reimbursement