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PhD position: Nanoengineering refractory compositionally complex alloys for extreme conditions (M/F)
science. He/she will join a top-tier network of academic and institutional collaborations across Europe and the United States. Finally, this PhD offers an outstanding research training experience, highly
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contributing to the life cycle assessment (LCA) of the process; +Processing and analyzing data (Excel, Origin, ChemDraw, and dedicated instrument software); +Presenting results to the supervisory team during
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observed in optomechanical platforms [2]. Practically, the applicability of modern quantum technologies in optomechanical networks ultimately requires quantum entanglement of light and many vibrations—i.e
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influence of pulsed or continuous currents on PPBs during flash sintering. Finite Element modeling using the Abaqus software and a multiphysics framework will be employed to quantify the processes occurring
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emulsion stepwise polymerization and dynamic covalent networks to synthesize functional latexes with a regular and dense distribution of dynamic/cleavable thioester [-S-C(=O)-] or disulfide [-S-S-] clusters
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research Competitive MSCA salary & allowances Global academic & industrial network Non-academic secondments Salary (Gross amount) Living Allowance Mobility Allowance* Family Allowance** EUR 4736
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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organised between the APC team and the University of Chicago team, as well as face-to-face meetings in Paris and CERN, and annual visits to Chicago A strong interest in computer science (software development
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. Identification of parameters governing amplification, quantification of perturbation efficacy, synthesis into physical portraits defining the dictionary of perturbations and critical observables. -Phase 2 (Months
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energy materials—and is equipped with state-of-the-art research facilities. Embedded in a dynamic network of industrial and academic collaborations, SIMaP provides an ideal environment for ambitious