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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 9 hours ago
determine the spatial distribution of solar irradiance. Subsequently, a 1D steady-state thermal model will be developed. This model will characterize thermal gains and losses in the transverse direction and
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of the candidate's profile for the activities to be carried out (50%) distributed as follows: previous experience in areas associated with the physical-chemical characterization of raw materials, soils and vegetable
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to be achieved: Development of algorithms for analyzing facial expressions in static and video images. Analysis and evaluation of identity bias in facial expression recognition. V - Initial grant duration
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 19 days ago
to the activities to be developed in Portugal, with a particular focus on the port’s demonstrator. More precisely: Development of forecasting algorithms for different related variables, e.g., load demand, renewable
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) Research lnitiation Fellowship in Computer Science - Distributed Systems Architectures A call is open for the award of a Research lnitiation Fellowship within the project SMART-CRM, reference 2024.07664
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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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and experience in distributed and decentralized systems, programming in low-level languages (such as C), experience with programming projects and teamwork. Additional Information Benefits Monthly
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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production. Within the scope of this fellowship, functions will be developed to detect service quality breakdowns based on virtual models of the distribution transformer (digital twin), to the degree
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challenging problem due to the limitations of classical algorithms. These methods often struggle with the complexity and scale of accurately predicting mRNA secondary structures. This pilot research project