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zones, including their taxonomic identification; iii) Experience in analyzing spatial distribution data of macrozoobenthos in coastal areas; iv) Experience in the capture, tagging, and deployment of GPS
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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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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
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for a research grant within the framework of project 2023.11234.PEX – GAI4FD - Evaluation methodology for Generative Artificial Intelligence Super-Resolution models for Fluid Dynamics, with DOI https
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 28 days 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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Infrastructure? No Offer Description Work Plan: • State-of-the-art survey in language models (LLMs), vision and language models (LVLMs), and trusted AI. • Establishment of the model evaluation setup in
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the following tasks: -Finetunning a Language Model for retrieval of questions related to the Portuguese Consumer Law. -Use of a Large Language Model to generate explanations of Portuguese Consumer Law that best
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feature selection methods to pinpoint small sets of neurons that encode concepts within artificial neural network models. Where to apply E-mail jleite@fct.unl.pt Requirements Research FieldComputer science
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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/IT137-25
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command of English (min. B2). Preferred: • Experience in C and data engineering; • Previous experience in database development and/or maintenance; • Knowledge of Large Language Models (LLMs) applied to data