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critical care. You will be part of a cohort of clinical fellows across numerous pediatric sub-specialties, including: • Hematology/oncology • Bone Marrow Transplantation and Cellular Therapy • Solid Tumor
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pathology, diagnostic imaging and clinical genomics. You will be part of a select cohort of clinical fellows across numerous pediatric sub-specialties, including: Hematology/Oncology Neuro-Oncology
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a
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Vacancies PhD position in Numerical Modeling of Thermo-Mechanical Effects for High-Performance Mechatronics Key takeaways A PhD position is available at the chair of Precision Engineering at
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on dynamics, as well as advanced courses in machine dynamics, multibody systems and numerical methods in dynamics, offered in various degree programs within the Faculty of Mechanical Engineering, such as
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, 2025. We are looking for: The applicant should perform active research in numerical analysis of finite element or finite volume methods for coupled problems in one of the application areas of the group
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the formation of two- and three-dimensional DNA structures which
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or apply computational techniques such as artificial intelligence, data science, machine learning, statistics, formal methods, numerical methods, computational modeling, computational complexity
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- Develop original numerical methods for facility simulation in presence of expansion waves - Demonstrate improved estimates of rate constants for two-temperature models - Contribute
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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying