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interdisciplinary team on developing high performance urban farming module via computational and empirical analysis Support in the design and maintenance of the vertical farm to be setup in SIT@Dover and willing
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and
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analysis, including GWAS, Genomic SEM, EWAS, bioannotation, and/or polygenic scoring analyses Experience with R and Bash programming in high-performance computing environments Familiarity with study-related
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work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program . Application Materials Required: Cover Letter
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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on an individual basis Key Responsibilities (non-program specific): Provide high quality patient care in one or more of the program's affiliated emergency departments May participate in medical staff activity
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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different climate change scenarios on the thermal performance of the outdoor environment in schools. The Research Fellow is expected to contribute to monitoring in case-study schools which will generate data
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-term appointment through to 30 June 2027 This position will be directly involved in the delivery of the research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program
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oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor prognosis, and this clinic