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trenching, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element
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socio-economic analysis, equipping them with advanced skills in reservoir modelling, machine learning, advanced oxidation processes, and microbial enhanced recovery. Candidates will also develop intuitive
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Technologies, ORCID: https://orcid.org/my-orcid?orcid=0000-0001-7930-1751 Topic Description: Smart textile technologies are rapidly advancing, making the formation of conductive tracks directly on textile
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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for Responsible AI – Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 26-Feb to 12-March
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the full position description, including all of the required qualifications, copy and paste this link into your browser: https://mycsun.box.com/s/97zib9u6ny7c5hrv8dxxv6b8nfkp5i5x Qualifications Equivalent
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science, nanotechnology, life science and energy research with world-leading industrial research and development projects. The division of Condensed Matter and Materials Theory constructs models for and
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combined with other geophysical and petrophysical data. In addition, coupled thermal-hydraulic-mechanical numerical simulations will be carried out. We are looking for a scientist for electromagnetic
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Development and application of new methods for studying allosteric regulation in chaperone complexes
methods and models for the study and simulation of protein folding processes; in the development and application of coarse-grained models for the study of the dynamics of single proteins and complexes; in