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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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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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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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-rozman/home ) and Dr. Matej Krajnc (https://matejkrajnc.splet.arnes.si ) on topics related to the role of activity in 2D and 3D tissue dynamics, focusing on computational approaches such as the vertex
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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
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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processes for energy storage applications. The researcher is expected to use solution-based synthesis approaches (e.g., electrospinning, slot-die coating, and 3D printing) to fabricate battery electrodes and
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expression in vitro and in vivo. Develop and maintain advanced cell culture systems, including macrophage models and multicellular 2D/3D culture platforms. Perform co-culture experiments involving immune and
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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding