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Field
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(GIMM) opens a call for one research fellowship with the funding support from own founds. Scientific Area(s): Cell Biology Work Plan and Objectives: This project will investigate the stability
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(40%) topics related to the work plan, experience and the candidate’s CV will be discussed with the invited candidates. If none of the candidates achieves a minimum final score of 15 points
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the PRR - Recovery and Resilience Plan and by the NextGenerationEU, through the scheme «Agendas para a Inovação Empresarial». 3. Admission Requirements: Candidates must be students enrolled in a Bachelor´s
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: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in PhD in Sustainable Energy Systems. Work plan: Development of the base scenario through dynamic thermal simulation
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 25 days ago
following conditions: Scientific area: Industrial Engineering and Management Work plan: Research in Last Mile (routing models, simulation, and Artificial Intelligence). 1. Duration and Terms: Duration of 12
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Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR
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Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR
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performance. - Evaluating the performance of the developed models and algorithms using relevant metrics and realistic test scenarios. The work plan consists of the following development phases: 1) State
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real time; 5) include methodologies for verifying data from other sources of information (weather forecasts, etc.). The work plan consists of the following activities: 1) State of the art analysis In
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. The work plan consists of the following activities: Review of literature on large language models (LLMs), risks and threats associated with integrating LLMs for long-context dialogues with users, mechanisms