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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
supramolecular networks/IST-ID), (1801P.01682) 2024.14207.PEX, financed by national funds through FCT/MCTES (PIDDAC Workplan: This project focuses on self-replication driven by self-assembly, using computer
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. - Modeling of the distribution and development of Gnomoniopsis smithogilvyi. 5. Applicable legislation and regulations: Statute of the Scientific Research Grant Holder, approved by Law No. 40/2004, of August
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Networks Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To investigate the impact of adding sensing capabilities in cellular networks. Work Plan The thesis will be developed
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neural networks. • Establishment of the evaluation setup, including collection and preparation of sports datasets (results, game statistics, athlete data) and definition of benchmarks and metrics
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Technologies; Develop a conceptual model for network analysis; Evaluate the reliability, capacity, and quality of the records and reports of the transport network in Guimarães, Amarante, and Lamego; Evaluate
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Grant (BI) for a Master’s degree holder within the scope of the ESCXEL – Network of Schools of Excellence Project, funded by national funds. The research activities will focus on the monitoring and
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/coordination of the grant: Carla Sofia Pinheiro Vitorino IV - Work Plan / Goals to be achieved: The objective of this project is to develop a patient-specific, biodegradable nanothermal mesh integrating hybrid
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management and publication platforms; e) Basic understanding of network analysis; f) Knowledge of Angolan history. Additional Information Benefits Applicable legislation and regulations: Law no. 40/2004, of 18
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Forests and neural networks. b) Basic programming experience in Python and familiarity with libraries such as pandas, numpy or scikit-learn. c) Experience in processing and analysing data from electronic
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metrics: (i) Calculation of indicators such as canopy volume and shape, structural density, biomass distribution, and other relevant geometric parameters; (ii) Segmentation and classification of vegetative