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generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data. The workplan will be as follows: Literature review Design of
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 9 days ago
use of resources in a highly interdisciplinary and distributed framework; Model scientific and community knowledge regarding stakeholder networks and socio-ecological systems; Develop integrated
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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knowledge of adaptive optics systems, including wavefront sensors, deformable mirrors, and real-time wavefront correction algorithms. Familiarity with optical systems, particularly in high-resolution contexts
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of the rocky intertidal; Experience in the analysis of species distribution data and publication in open repositories, such as GBIF. The candidate must be able to work well in a team and possess problem-solving
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
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Objectives: Development and implementation of computer vision and active learning algorithms for sign languages, including (i) a pipeline for the ingestion and extraction of visual gesture features
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) that aims to establish a Green Hydrogen Valley in southern Portugal, integrating the entire renewable hydrogen value chain—from large-scale production and distribution to end-use in key sectors such as
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candidates using photometry, spectral energy distributions and, when available, spectroscopic data. Both fellows will produce diagnostic plots and summary tables. Simple statistical or machine-learning methods