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healthcare system, comprising the largest physician network in Indiana, 16 hospitals across Indiana, and a deep academic partnership with the IU School of Medicine. Ideal Candidate Profile: An established NIH
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Apply now Job no:501953 Work type:Full time Location:Hobart Categories:Laboratory & Research Support Support the delivery of practical classes and student learning. Provide advanced technical
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: Research: Evidence of sustained research impact and experience supervising student research Technical Proficiency with: Deployment of machine learning and deep learning models Modern JavaScript/TypeScript
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natural resources. The Clinic is an immersive and multi-modal experience, exposing students to the broad range of work in which environmental attorneys engage. We teach students key lawyering and advocacy
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++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as
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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
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requirements to be integrated into the UAV under development.; ; - Development of Deep Learning algorithms for processing information from visible spectrum cameras, thermographic cameras, and LiDAR systems
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boasts a small community-like atmosphere that fosters deep and impactful relationships with students and families from all walks of life over many years. P.K. Yonge is committed to creating a learning
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us as an Administration Officer and play a vital role in guiding students through their learning journey - from enrolment to certification. As part of the Seafaring & Maritime Operations (SMO
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. Target start date is January 2026. Appointment Start Date: January 2026 Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://sustainability-accelerator.stanford.edu/ (link