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17 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Mechanical engineering Researcher Profile
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National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | about 2 months ago
Overview We are seeking a researcher to lead the development of original "AI-driven materials research methodologies" and their application to innovative materials discovery by integrating cutting
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specializing in the following areas: Tissue Engineering, Disease Models, and Stem Cell Research Diagnostic Tools and Devices with applications such as rural and distributed health care models Frontiers in
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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climate risks coupling with machine learning techniques and physics models. The successful candidate will have a demonstrated background in computer science, statistics, and engineering as exemplified by a
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simulation-driven software systems, from data ingestion and model development to experimentation and deployment. Hands-on experience with machine learning frameworks, particularly PyTorch, including model
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!', which involves 9 PhDs and 5 Postdocs. So, we offer an excellent inspiring, collaborative, and international research environment, with access to leading experts in medical technology and AI-driven
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of occupations, driven by digital transformation, the emergence of generative artificial intelligence, and ecological transitions, is challenging the alignment between the competencies developed in higher
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through the creation of sophisticated 3D CAD models and detailed design packages suitable for fabrication. This position resides in the Plasma Enrichment Deployment & Engineering Group in the Plasma
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steel or aluminium structures Welding, fabrication, or construction automation Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering