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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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dental composite restorative materials and light-propelled nanoadditives; and high-performance 3D multi-material inkject printable polymers. Department of Craniofacial, Oral and Materials Sciences research
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Ionic CONductor) materials have a 3D structure allowing the fast diffusion of sodium during the electrochemical reaction of charge/ discharge as well as good structural and thermal stabilities
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electrode materials is a key factor in advancing this technology and promoting its use in practical applications. NaSICON (Natrium Super Ionic CONductor) materials have a 3D structure allowing the fast
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, Biomedical Sciences, or Life Sciences. Extensive experience in cell culture, 3D culture, drug screening, and fluorescent microscopy. A prior experience in molecular and cancer biology. A candidate should have
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demonstrated skill set in biomaterials such as hydrogels and biomanufacturing such as microfluidics and 3D printing. Able to work well and communicate ideas effectively in a multidisciplinary team of researchers
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specifically, you will be responsible for developing and testing 3D electrodes. You will study the effect of hydrodynamics, shunt currents and dynamic flow regimes in redox flow batteries and design. You will
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: Communication, teamwork and collaboration, commitment, proactivity, integrity, and critical/analytical thinking. High level of English. Advantageous: Experience in nanomedicine, active matter, biomaterials, or 3D
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-cell transcriptomic, and spatial transcriptomic analysis for brain metastasis research. Utilizing hESC/iPSC derived human cerebral organoid for in vitro 3D models to examine the microenvironment of brain
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
hydrostatic assumption as a higher order approximation of 3D stochastic Navier-Stokes arXiv preprint arXiv:2602.04422 2 A Debussche, É Mémin, Antoine Moneyron, Stochastic interpretations of the oceanic