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human samples from a longitudinal cohort (ESMI), as well as the use of transgenic animal models of the disease. The candidate will be responsible for the experimental execution of the different project
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available in the electronic platform "Apply UC" under "My Application." VIII.I- Mandatory documents to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree
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Images Work Plan: -Review of the state of the art on image segmentation models. -Implementation of prototype optimizers for neural networks. -Experimentation with the developed prototype and analysis
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to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 30 days ago
tasks # Performing quantum mechanical and ML-based simulations to determine CO2 adsorption energies # Application of self-consistent continuum solvation models to account for solvation effects
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
process models for electrified methanol processes under fluctuating power supply from renewable sources # Simulation and optimization of the operating behavior of flexible systems, including control and
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optimization of laser deposition coating processes using combined wire and powder feed, including numerical simulation of interface bonding mechanisms, microstructure evolution, and process parameter
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of biodegradable composite fibers (PLGA/PLA), and validation of therapeutic efficacy in ex vivo models (human skin) of burn wound healing. Additionally, the candidate will collaborate in the integrated analysis
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recursoshumanos@fe.up.pt , clearly stating the reference FEUP-ICARUS and including the following pdf documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification
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engineering projects is increasingly complex, particularly when balancing human expertise and Large Language Models as collaborative agents. This project aims to propose a reputation-based agentic Artificial