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contract is part of a collaborative project aiming at the fabrication of dense clusters of plasmonic nanoparticles and polymer with non-linear optical properties. The objective is to demonstrate
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to hydrido-closo-borates,5 from sodium borohydride. Due to unexplained selectivity in boron cluster formation, a detailed mechanistic understanding is necessary. This postdoctoral project aims to explore
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foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
the formation of activated CD4+ T cell/B cell clusters, were recapitulated in the LO chip. Further, cells within the chip were competent at capturing and expressing mRNA vectored by lipid nanoparticles, enabling
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science