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Field
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efficient numerical methods for solving the problems, and implement the numerical algorithms to verify the theoretical results. Job Requirements: Applicants should possess a PhD degree or have satisfied all
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applications. The project is highly multi-disciplinary, integrating algorithm development, engineering, physics, and biology components. Candidate do NOT need to have expertise in biology to apply. BIRTLab
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the project leader in the research project - “Efficient algorithms with anderson acceleration for nonsmooth equat”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at
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experience in extending or enhancing the capability of digital design tools. Experience in algorithm development and/or workflow automation for digital design processes. A proven track record of using relevant
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the state of the art in the fields of smart buildings, digital twins, and the development of building energy optimisation algorithms; Use of methods and tools for energy systems modelling and optimization.; 3
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management skills Interest in working in an interdisciplinary team, including sociologists, economists, algorithm engineers, and educational specialists Nice-to-Have: Experience in industry or applied research
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(OpelRT or Typhoon), electrical system design for better efficiency and system resiliency, and energy management algorithm development using MATLAB/Simulink for marine microgrid applications. Knowledge
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of SCADA data, Artificial Intelligence algorithms, and the Digital Twin of photovoltaic assets, allowing the identification of anomalies and patterns indicative of imminent failures.; ; The main objectives
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
; - survey and analyze the state of the art in emerging wireless networks, including simulation aspects; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models
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Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field data acquisition