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leading European experts in photonics, microfluidics, nanofabrication, and theoretical modelling Analyze and interpret experimental results to optimize device performance and functionality Participate in
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10332 Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Environment The PhD candidate
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: • To design and optimize an electrolyzer that simultaneously promotes mass transfer, contaminant degradation, and gas recovery; • Study the influence of operating parameters (current density, reactor geometry
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the effects of individual MNs on cellular function in PBMCs in health and inflammation We are seeking a highly motivated PhD candidate to join the project ‘Investigating the effects of individual micronutrients
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. AEGIS sits where two fast-growing fields meet: datacentres and AI infrastructure on one side, energy and power systems on the other. Few people today can work across both, so the skills you build here
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microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution of semiparacrystalline (SPC) morphology with device
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optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities
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electrochemical interfaces for electrocatalysis and batteries. You will investigate how the properties of the electrode-electrolyte interface can be leveraged to optimize the activity, selectivity, and stability
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aroma compounds, you will work with state-of-the-art analytical techniques, including GC-HRMS and UHPLC-HRMS, complemented by sensory evaluation studies. Your research will contribute to the development
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Help redefine cancer treatment through nanomedicine. We are seeking a highly motivated PhD candidate to work at the cutting edge of lipid nanoparticle design & molecular modeling Job description