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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 6 hours ago
the most significant microscopic parameters for the homogenized response Develop and train machine learning models to estimate the homogenized properties from such parameters Document research findings
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- Association for Research and Development of Sciences at https://fciencias-id.pt/ . Time limits for the appeal procedure: In case of negative decision, the candidates have 10 business days, after the date
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
expected to develop and run workshops to introduce your work to end users. For further detail on the Lanfear Lab, our ideals and goals please visit our webpage: http://biology.anu.edu.au/research/labs
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Environmental Footprint - OEF; Product Environmental Footprint - PEF), integrating Data Quality Rating (DQR) methodologies, and developing CSRD-aligned key performance indicators (KPIs). In addition
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Cities project, supporting the development of methodologies to understand the relationship between cultural diversity and public space. It seeks to: • develop innovative urban landscape assessment methods
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description: - scientific services in research within the BMBF-project “ATLAS”, especially development of digital twins for liver cancer therapy evaluation/ development of patient-specific models decision
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work on the catalysis for CO2 related
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health sciences across the campuses of Johns Hopkins University to foster innovative, interdisciplinary scholarship and to train undergraduates, graduate students, and health professionals with skills
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advertised on Sorbonne Université’s website: https://www.sorbonne-universite.fr/en/news/msca-postdoctoral-fellowships-sorbonne-university-2026 2. Prepare your CV, a motivation letter and fill in the required
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require development of advanced experimental and data analysis skills and will work closely with the Doctoral candidate working in Cambridge on data assimilation (https://www.imft.fr/dc10-arterial