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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles
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Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and
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should have strong digital signal processing and mathematical backgrounds evidenced by grades and/or prior publications. Additionally, the candidate should have expertise or strong interest (evidenced by
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interdisciplinary research and training program. The objective of the open PhD position is to advance current over-the-air-computing (AirComp) approaches for federated and graph-based Embedded AI to account for
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. The candidate holds a master’s degree in one of the following fields (or a closely related discipline): Business Engineering, Applied Economics, Applied Sciences, Engineering, Computer Science, Mathematics
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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. Expectations for the proposed project We seek candidates whose research intersects meaningfully with the research domains represented across our supervisory team. These include: Narrative theory and narratology
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. This may include, but is not limited to: humanism, transhumanism or post-humanism feminism and gender theories ecological transition social and political issues raised by technologies (e.g. AI, robotisation
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CHIMERA) is to study with theory and simulations the formation, evolution and transport mechanisms of various types of biomimetic membranes. The gained knowledge will guide the experimental activities
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-regulatory networks. Following cis-GRN network reconstruction and formal graph analysis, we will identify key regulatory factors governing cell-type specific response to CMT-causing mutations. Finally, we will