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Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage
could supply 11% of electricity worldwide. Metallic alloys are excellent candidates for latent heat storage of this fast-growing intermittent energy. As part of a project of the PEPR DIADEM dedicated
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to show, for example, that the composition has a significant effect on the number of monovacancies and the number of defects at low energies, while at higher energies, the effect of the chosen interaction
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to prolate taking place at N=82. The missions entrusted will be the off line preparation and the realization of low-energy nuclear physics experiments at the IGISOL facility of Jyväskylä, Finland, as
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myelopoiesis. • Impact of treatment like CAR-T on leukemic cell division. • Push the technology for single cell and spatial omics. We have an active collaboration with the lab of Ken Duffy, Boston
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define the calibration procedures. Moreover he/she will participate to the first data analysis during the LS filling with the goal of estimating the background rate and their energy spectra which are key
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activities include carrying out experiments and analysing data, in particular using : - Molecular biology (cloning, Q-PCR, etc) - Cell biology (primary culture of neurons, transduction with lentiviruses
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to the development of technologies for converting solar energy into hydrogen, a potential fuel for fuel cell vehicles. This involves exploring the production of photoelectrodes formed by np heterojunctions composed