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of the transmitter architecture, from modeling the behavior of single transistor devices to accurate modeling and linearity compensation of entire amplifier circuits. The position being opened in this Call for
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secondary data from databases relating to estimates of the economic value of ES*; Ability and availability to collect, statistically model and analyse data related to the economic valuation of ES
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(R1) Admission requirements: 1 - Bachelor's degree in Computer Engineering or similar areas* 2 - Experience in the use of Large Language Models (LLMs) and multi-agent platforms for the creation
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models with functions to support autonomous driving, route optimisation and load management; 4) Test and analyse the performance of the models developed; 5) Collaborate in writing scientific articles
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metrics for determining the output of a machine learning model, capable of assessing the reliability of a given input/output. 2. State of the art regarding non-invasive blood pressure estimation, focusing
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extracellular vesicles using in vitro and ex vivo models. V - Initial grant duration: 6 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I - Monthly
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
Workplan: The research work aims to develop a dynamic electricity demand growth model applicable to rural electrification planning, making use of advanced satellite imagery and including a case study in
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activities within the scope of the T3SH-City project. The methodology to be adopted will follow an interdisciplinary approach, integrating stages of modeling, experimentation and validation, highlighting
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modeling systems for data analysis problems; ii) Develop IoT modules iii) Develop image analysis strategies iv) Promote the dissemination and exploitation of the results generated in the project. 4. Goals
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modelling of nature-based solution to enhance the resilience of Mediterranean agro-silvo-pastoral ecosystems and landscapes, with reference GA nº101156076, taking place at the Forest Research Centre (CEF) of