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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
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/Pharmaceutical Science, or related degree Accreditation in Laboratory Animal Science (DEC article 9) is highly desirable, but not essential Lab experience including: mammalian cell culture, cell biology, and
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microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
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communication skills an early career researcher with publication record, presentation skills and commitment to research integrity equipped with excellent software skills and hands-on experience with deep learning
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@ECItorontomet (external link) on Twitter, and visit our LinkedIn company page (external link) . About the Project This project examines the experiences of teachers working with students from refugee
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interactive learning environment. Based at Cranfield University, a global leader in aerospace research, the project benefits from world-class experimental facilities in hydrogen testing and expertise in
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» Civil engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications MSc. degree (or equivalent) in Civil Engineering, Structural Engineering, or related fields. Proven experience or great
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engineering and wave-wind theories is advantageous Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable Ability to work independently
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, relevant for a real application of interest to an industrial partner that will provide experimental data. The PhD student will work within a novel theoretical and computational framework for phase-field
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into this environment are invited to apply. Experience in fields such as NPC, peroxisomes, DNA origami, IDPs, biophysics, single-molecule techniques, and optical imaging is welcomed. We foster diversity and female