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five years of relevant research experience in cancer biology; OR an advanced degree (Master’s or PhD) in these fields and at least two years of relevant research experience in cancer biology (equivalent
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models of cancer will not be considered. Candidates must hold a PhD and have postdoctoral training. Successful candidates will have an established record of high-quality research and show strong promise
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, and aspirations Currently living or willing to relocate to our Broken Hill with the ability to travel frequently to Wentworth Education Doctorate or PhD - In a relevant field OR Other - An equivalent
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DOI: http://dx.doi.org/10.11591/telkomnika.v12i6.4582 Livingstone T. (2024) Hybrid Images and the Vanishing Point of Digital Visual Effects. Edinburgh University Press. Patrucco, A. S., Marzi, G
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Qualifications Basic qualifications Candidates having completed a PhD and/or MFA in related fields by August 2026 will be given full consideration. Application Requirements Document requirements Curriculum Vitae
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and in very rare instances a weekend shift may be required. VP Area President Department 01188 - HCI CTR QUANT IMAGE&THERANSTCS Location Campus City Salt Lake City, UT Type of Recruitment External
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and in very rare instances a weekend shift may be required. VP Area President Department 01188 - HCI CTR QUANT IMAGE&THERANSTCS Location Campus City Salt Lake City, UT Type of Recruitment External
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and in very rare instances a weekend shift may be required. VP Area President Department 01188 - HCI CTR QUANT IMAGE&THERANSTCS Location Campus City Salt Lake City, UT Type of Recruitment External
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at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The University of South Carolina School of Medicine is seeking a Tenure-Track Faculty for
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
respecting the specific constraints of emergency situations. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted