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Fellowship Guidelines for details) This is a two-stage application process: Stage 1. EOI, and Stage 2. Full Application by invitation only. Applicants must identify an Academic Contact from their intended
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DIB-2026-04. The supporting statement section should set out how your qualifications, experience and training meet each
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 1 day ago
(such as extracellular vesicles). Identification of in-process factors produced during the manufacturing process that can predict cell quality. Design of scalable, tunable 3D biomaterial environments
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
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. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including
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Institutional Review Board (IRB) requirements. Oversee project teams, staff allocation, budgeting and procurement processes to support programme productivity and continuity. Prepare and coordinate reports
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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, process integration, and electrical/optical metrology to evaluate stacks for all-optical magnetic switching (AOS). You will plan and run cleanroom process flows end-to-end—from mask design and lithography
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20260020F Position Title: Imbesi