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Field
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skills to develop experimental methods, troubleshoot process issues, and interpret complex data sets. Utilize data analysis software, simulation tools, and relevant programming languages for modeling
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept
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Process: The applicant will be assessed by an expert committee. Relevant applicants will be invited to an interview, or other presentations. The faculty notes that it reserves the right not to hire
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infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in
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of complex and challenging patients in critical care. The curriculum is composed of multi-modal learning opportunities that may include the following: in-person didactics, online classrooms, simulation
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to laboratory operation for the project. Job Requirements: PhD degree in physics, mathematics, engineering or related field Strong background in in photonics as well as in the use of electron sources, such as DC
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undergraduate students. Provide logistical support pertaining to laboratory operation for the project. Job Requirements: PhD degree in physics, mathematics, engineering or related field Strong background in
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addressing areas of potential bias Desirable criteria Previous experience of working with parents or children Publication Downloading a copy of our Job Description Full details of the role and the skills
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. The position is located in Vancouver, Canada where the candidate will join the Pharmacokinetic Modeling and Simulation (PKMS) laboratory at UBC’s Faculty of Pharmaceutical Sciences and the Laboratory team