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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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. Unsupervised machine learning approaches will be used to identifiy key dimensions of circadian rhythm associated with dementia subtypes. This requires a very good level in statistics and R programing as
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focused on a poorly characterized family of Cryptosporidium proteins ; • the opportunity to establish and apply functional genomic approaches in an emerging parasite model ; • substantial involvement in
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empirical analyses (task 21) - Contribution to WP5: Theoretical and practical outputs • Contribution to the theoretical outputs: creation of a theoretical model that reflects private judicial, legal and
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will be in contact with other researchers in high-energy theoretical physics and string theory at LPTHE and in the Paris region who are working on related topics. Where to apply Website https
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collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Analytical and numerical modeling of one-dimensional
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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candidate will : • Adapt the AEROTYPro/GRASP methodology for the typing and quantification of stratospheric sulfate aerosols; • Develop optical models for the characterization of sulfate particles produced
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A post-doctoral position is available to advance the development of a 3D human lymphoid organ model and apply this model to test new mRNA vaccination platforms. The position is fully funded for 2.5