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interpret data from flood risk models and GIS datasets Disseminate research findings for publication, research seminars etc Contribute to developing and applying flood risk models, and develop techniques
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psychology, cognitive science, human-computer interaction, communication science, or a related field. Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed
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months. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of your CV. Please contact Prof Ricky Wildman
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with
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Data Science (CCDS) and Nanyang Business School (NBS), and strong involvement from the College of Engineering (CoE), College of Science (CoS), College of Humanities, Arts and Social Sciences (CoHAaS
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an emphasis on technology, data science and the humanities. Our research focuses on uncovering the cellular, molecular and metabolic mechanisms driving cardiovascular and skeletal diseases. We are a dynamic
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communication skills with the ability to document research findings and communicate effectively to diverse audiences. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering
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for full information): APPLICANT (35%) ALIGNMENT WITH MACQUARIE UNIVERSITY’S STRATEGIC RESEARCH INITIATIVES (20%) BENEFIT (10%) PROJECT (TOTAL 35%) • Project quality and innovation (15%) • Feasibility (10