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skills (Matlab, Python). Ability to work with large datasets. Knowledge of basic statistics. Ability to work in an interdisciplinary team. At least 4 months of experience in research activities carried out
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
and technological output, including publications, scientific software, computational tools, technical reports, patents, or contributions to knowledge transfer Experience applying AI, optimization
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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of employment: 3 Years Hours of employment per week: 40h Responsibilities: Development, characterization, and optimization of polymer recyclates from post-consumer recycling (PCR) and end-of-life vehicles (ELV
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multidisciplinary environment within WFBR, working closely with experts in food technology, microbiology and chemistry. Knowledge sharing is central to how we work: we meet several times a week in Wageningen to
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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methodologies for assessing Local Energy Communities. Contribute to the integration of market and economic considerations into mathematical optimization models. Analyze electricity market structures, pricing
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization