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Field
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technology, essentially empowering machines with the sense of vision. The CVC is a successful marriage between knowledge and innovation. In addition to our cutting-edge scientific achievements, we have
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-level modelling of environmental exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a
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at Virginia Tech, where you will contribute to pioneering research at the intersection of computational materials science and machine learning. Required Qualifications - Ph.D. in Chemistry, Chemical Engineering
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opportunity to collaborate and learn from experts researching, developing, and testing emerging technologies in marine energy and/or ocean-based industries. You will conduct research at both your academic
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development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the development, implementation, and
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. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2. Demonstrated research experience in 2D/3D
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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21 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile Recognised
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written