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) or a closely related field. Technical proficiency: You must have relevant experience in high-level programming (e.g. Python) and an understanding of large language model (LLM) architectures and training
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knowledge in mechanical vibrations and nonlinear dynamics, demonstrated through scientific publications and successful completion of 2nd and 3rd cycle (Master’s and PhD level) curricular units (proven
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 29 days ago
), financed by national funds through FCT Workplan: The candidate(s) will have experience in mathematical modeling and programming for nonlinear Ordinary and Partial Differential Equations. He/she will study
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and economic conditions, at Masters or PhD level. For more information visit Universities NZ . Value At least one scholarship is awarded annually, with a value of normally $12,000 per year for up to two
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participation in research projects or scientific activities related to drones, 3D modelling, precision agriculture, or forestry; Scientific output; 4. Availability for fieldwork and participation in project
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6 Mar 2026 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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6 Mar 2026 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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. RECIPIENT CATEGORY: Degree courses: Students enrolled in a PhD. Non-conferring degrees courses: Masters enrolled in non-academic degree courses. CANDIDATES PROFILE / CANDIDATE ADMISSIBILITY REQUIREMENTS
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a Research Infrastructure? No Offer Description Work Plan • Survey of the state of the art in predictive and analytical models applied to sports, ranging from statistical and linear approaches to deep
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– development of scenarios for the network analysis. --- Model development – development of a model that enables the analysis of the impacts of adding sensing capabilities. --- Model implementation