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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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in attosecond science and offers opportunities to develop interdisciplinary expertise in topics ranging from atomic physics and quantum optics, to ultrafast lasers. The candidate will be expected
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mutagenesis. The goal will be to develop a series of nanobodies specific to certain subtypes of brain nicotinic receptors, to characterize their functional effect on the receptors, and to identify their binding
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and development, as well as for the general public. The PhD student will fabricate graphene-based samples in a cleanroom environment and perform low-temperature electronic transport measurements in
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to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes
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linked to optical activity. This thesis will aim at the design and development of novel luminescent lanthanide complexes with the ability of photonic upconversion, which is the emission of photons higher
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. GENIUS will address all three challenges by developing advanced analysis and design tools for energy geostructures (WP-1) and by advancing practical and scientific knowledge for their integration with
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structures. GENIUS will address all three challenges by developing advanced analysis and design tools for energy geostructures (WP-1) and by advancing practical and scientific knowledge for their integration
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few. In this context, several numerical techniques have been proposed to track the continuous evolution of the binary fluids from an initially immiscible state to the miscible state[1] ,[2] ,[3
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into their conditions of formation. The mineral phases can indeed be used to trace significant geodynamic processes, such as orogenesis, rifting or subduction. In metallic materials, the development of multiple phases is