61 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation"-"St" Fellowship positions at INESC TEC in Portugal
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TEC offers the opportunity to collaborate on this ambitious project, namely by contributing to technical capacity building, tool development, and the strengthening of the x-Energy Lab’s laboratory
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TEC offers the opportunity to collaborate on this ambitious project, namely by contributing to technical capacity building, tool development, and the strengthening of the x-Energy Lab’s laboratory
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support the conversion and modernization of packages developed in ROS1 to ROS2 in the laboratory. The fellow will collaborate with the members and those responsible for the original packages, ensuring
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Development of novel Machine Learning techniques applied in systems/networks research, which includes, but is not
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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TEC. 2. OBJECTIVES: - Expand knowledge in the grant-specific scientific area.; - Identify and select appropriate methods for the target study.; - Develop research capability through the application
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: In this project, we intend to develop a new approach based on physically inspired hybrid machine
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workplan: ; - Develop the research skills through the application of the selected methods ; - Apply the scientific method on the research process and a critical attitude on the obtained results.; 3. BRIEF
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; - Develop research capacity in the areas of data space connectors, interoperability, and open-source repositories. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Develop tools for the management
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insurance, supported by INESC TEC. 2. OBJECTIVES: Over the years, large-scale infrastructures have been developed to support high computing performance without worrying about energy consumption. With