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Apply now Job no:542668 Work type:Part Time Location:Sydney, NSW Categories:Post Doctoral Research Associate One of Australia’s leading research & teaching universities Vibrant campus life with a
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reports on the experimental results Prepare manuscript(s) as a result of the research Job Requirements: Bachelor’s / Master’s degree and Conferring PhD student in Chemistry or related field At least 5 years
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
Hours per week 40 Work Schedule Varies Pay Rate $54,000/yr Minimum Experience/Education The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent
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School We are a research-intensive School that simultaneously delivers outstanding teaching to our students. As such we aim to be consistently recognised as truly world leading in key areas of our science
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 8 hours ago
educational level and experience. Citizenship Requirements: This opportunity is available to U.S. citizens and Lawful Permanent Residents (LPR) only. This program, administered by ORAU through its contract with
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to work on a 5-year UKRI Medical Research Council funded project to define the mechanism of vasculogenic mimicry in RMS, identify therapies that modulate VM and understand their mechanisms and Develop VM
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equipment. Job Requirements: Education qualifications: PhD (Mechanical Engineering) or above Soft skills: Organization management and project progress control ability, channel development and industry
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in collaboration with Ionic Technologies. The project will develop innovative, hydrogen fluoride-free routes for converting recycled rare earth oxide feedstocks into rare earth fluorides
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical