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Field
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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Investigator at INIAV. Required documents: a) Are enrolled in the 2nd year of a Master’s program; b) Have curricular experience in laboratory practice in microbiology, bacteriology, and molecular diagnostics; c
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problems. Responsibilities may include: Assisting with clinical data analysis and preprocessing Developing and evaluating AI and machine learning models Supporting research in predictive modeling and
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graduate student and postdoc needs Postdoctoral Scholar Engagement Develop and implement initiatives to support community-building and professional growth among postdoctoral scholars Create opportunities
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and the University of Tartu. The appointed person will contribute mainly to WP4 (Terminology-aware Quality Estimation and Automatic Post-Editing (APE)) which will develop models capable of identifying
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Researcher for the Mechanical Systems Modeling (MSM) Group. The Electric Motor Researcher will conduct detailed analysis of electric motors and motor drive systems used in gas centrifuge applications
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AI-powered digital modelling. The project aims to deliver battery-free micro‑power solutions for smart, climate-responsive urban infrastructure. The Research Assistant will play a central role in
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to model development, experimentation, data processing, and performance evaluation as part of an active research environment. Responsibilities Implement and experiment with computer vision models using
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models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very