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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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, computational sciences. A PhD degree is required. Significant experience with programming, project management, and large-scale model training is a plus. To apply, please send us your application and reference
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FieldEnvironmental science » OtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Expertise in equation oriented modelling with Matlab or Scilab. Process simulation in commercial software such as
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of this position aims to develop computational methods for design of modular RNA origami robots. The project includes the following tasks: Develop computer-aided design software for modular construction
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that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization Qualifications ? U.S. Citizen Preferred ? Bachelor's, Master's or PhD degree in a STEM
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The ability to collaborate with healthcare professionals to plan or provide treatment for patients within a hospital/healthcare setting. The ability to navigate and use basic office computer software (Windows
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. Candidates must have completed a terminal degree (PhD or equivalent) before starting. This is a unique 10-month, non-tenure track faculty position designed for scholars who wish to integrate research, teaching
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. Requirements: A PhD degree in psychology, communication, public health, statistics, or a related discipline; or a master’s degree with relevant research experience; Proficiency in data analysis using statistical