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position involves assisting in the development, deployment, and evaluation of AI-based models and tools for engineering applications. At the end of the project, whole work repository needs to be uploaded in
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. The project will conduct leading research and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models
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and modeling of psychopathology and efforts to address behavioral health disparities. This is an excellent opportunity for individuals interested in gaining hands-on research experience in clinical
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manner, collaborates effectively, abides by policy, contributes to a positive and productive work and learning environment, and models these behaviours across the institution. Builds and leads diverse
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models to address a fundamental question in chromatin biology: How do epigenetic features contribute to the regulation of the genome? We study how chromatin drives specificity for regulating gene
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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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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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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