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studies. Proven experience preparing ethics applications and writing research reports Strong time management and organisational skills, with attention to detail, ability to manage multiple complex tasks
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relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in
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an area aligned with the proposed research internship project More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research
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admission requirements There is a formal application process. Your application will have to include academic track record, CV, writing sample and letters of recommendation. Your application will be evaluated
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University of Central Florida | Stennis Space Center, Mississippi | United States | about 2 months ago
to candidates with degrees in Physics, Electrical Engineering, Mechanical Engineering, Optics and Photonics, or other closely related disciplines relevant to TISTEF research by the start of the appointment. A
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. Minimum Qualifications: Ph.D. or equivalent terminal degree, or foreign degree equivalent, from an accredited institution in Chemistry, Physics or Engineering. A minimum of two (2) years postdoctoral
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, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy