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a role model and fostering an inclusive working culture. Person Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
communication, and the design and development of state-wide resources for informed and timely preparation and response to flooding events. The Person The successful candidate will hold a PhD in design or a
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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The Faculty of History and Christ's College invite applications for a three-year fixed term Fellowship, as part of the Isaac Newton Trust's Academic Career Development Fellowship programme. The
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logistics with Research Investigators and the Research Program Manager. Other duties as required. Qualifications PhD in a relevant discipline required Relevant research experience in epidemiology
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physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Experience with molecular dynamics simulations (with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc
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aquaculture and fisheries. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and
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at the Vancouver Campus of the University of British Columbia. This 1-year position with possibility of renewal will support a program of research on the evaluation of policies and programs designed to prevent work
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible