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Field
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Mesh Generation for High-Fidelity CFRP Structural Analysis and Design of UAV Models: This topic addresses the challenge of decreasing the labor-intensive meshing effort, typically required in high
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dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven experience in identifying nervous system
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https://www.ntu.edu.sg/erian This Candidate will be working on a renewable project to support projects on energy storage sizing, integrating distributed energy resources, renewables, and other advanced
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in electrophysiological methods. We collaborate with a network of local mental health centers for recruitment of patient populations. The fellow will be involved in all aspects of research including
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, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at conferences. IMPORTANT: Please specify in
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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vulnerability Single-cell and spatial transcriptomic analysis of treated organoids and tumour Computational modelling of cell state rewiring network Functional validation of identified targets in various tumour
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at the forefront of the research and development of self-healing reversible polymer networks (https://www.youtube.com/watch?v=fQ4t5GcS0_g ). With REVERSAM, we will explore deeper how the unique properties
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understanding of the mechanisms of astrocyte dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure