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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
modelling to join our Marine and Continental Waters Program team located in La Ràpita (Tarragona) , offering a great opportunity to work in a dynamic and collaborative environment within our organization
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cell implantation and in utero electroporation), cell migration studies using time-lapse imaging in brain slices and modeling, whole-tissue clearing, and advanced 3D analysis, the following gross salary
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Description The postdoctoral candidate will develop in silico models to approximate the regulation of IVD degeneration with emphasis on the interplay between the innate immune system and the CEP. The work
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, ERC-CoG)â••, focuses on the development of III-V tandem solar cells on silicon. The successful candidate will be responsible for the modelling, epitaxy, processing, and characterization of tunnel
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
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photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton
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of Group/Project: We are building an optimisation-driven framework that makes AI models reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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solutions. • Topic (tasks): Creation of LCA and TEA models on technologies for the decarbonization of ammonia production; Providing recommendations to decision makers based on modeling results; Collaborations
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Infrastructure? No Offer Description Mission: Study of cell adhesion and tissue shape change with theoretical and computational models. Functions to be developed: Develop theoretical models. Implement these models
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learning) applied to operational infrared images. Design and test a drone payload for the detection and geolocation of fires in night conditions. Collaborate with modeling teams to integrate observational