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translational projects employing single-cell sequencing, immune profiling, transgenic models, and molecular biology to uncover pathomechanisms and therapeutic targets in arthritis, osteoporosis, intervertebral
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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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learning models for describing and predicting experimental outcomes. Prior experience in laboratory automation for life sciences is highly desirable. Prior experience with cell and tissue culture is
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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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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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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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outcomes. The Postdoc Researcher will play a key role in implementing system prototypes, managing data pipelines, and supporting the development and validation of AI models in collaboration with clinicians
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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