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involve rewriting new reconstruction algorithms so that they can be run on heterogeneous platforms, i.e. systems where a traditional processor (CPU) is coupled with an accelerator (e.g. a GPU). The PhD
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examples of high performance embedded systems. The carbon impact of such systems is currently dominated by the embodied emissions, i.e. the greenhouse gas emissions of system fabrication [G21], but results
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the incorporation of up-conversion nanoparticles (UCNPs) developed at Softmat. Thulium-doped UCNPs can convert near-infrared light (i.e. 800 nm) into blue light, spectrally matched to the O2 probe '[Ru(bathophen)3)]2
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of economically viable elements (i.e., He, H) within geothermal systems. Supervisors: Raphaël Pik (CNRS – Université de Lorraine, [email protected] ), David Bekaert (Université de Lorraine) Co
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properties under local thermodynamic equilibrium, i.e. with only one temperature for all the species, while the validated algorithm for calculation of the two-temperature properties is still under development
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eligibility criteria: (1) All researchers recruited in a Doctoral Network must be Early-Stage Researchers (ESRs; i.e., be in the first four years (full-time equivalent research experience) of their research
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studied, which we understand as inhabited pieces of space, i.e. appropriated, exploited, valued and represented according to complex socio-historical dynamics. They are a manifestation of the ways in which
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interactions of semiconductor nano-sensors with their surrounding bio-molecular environment under the action of intense electromagnetic fields (i.e. lasers) for molecular recognition in medical applications
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and multivalent interactions (i.e., several receptors interact with several ligands, giving rise to entropic adhesive contributions) combine to finely regulate cell adhesion based on limited changes in
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experience - Spoken and written knowledge of Spanish Recruitment process All applications must be submitted via this portal (i.e. the CNRS Job Portal) by May 26, 2024 and must include: - CV (2 pages maximum