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Field
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qualifications: Experience in energy data managing and processing, Phyton or R programming knowledge, familiarity with version control systems (e.g., Git) and Geographic Information Software (e.g., QGIS), working
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their doctoral degree by time of appointment Desired Qualifications Demonstrated interest and commitment to working with older adults living with cognitive impairment. Experienced in statistical packages (e.g., R
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. Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents. Strong background in R&D with self-motivation and initiative. Ability to develop and manage
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compliance with relevant governance and quality standards. Experience in management and analyses of large quantitative datasets using relevant software (e.g. STATA or R) Demonstrable experience of successful
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universities, public institutions, research infrastructures deemed competent within the scope of Law no. 6550, TÜBİTAK Research Centers or Institutes, private sector companies with R&D or design centres
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simulation studies, applying the methods to electronic health records (EHR) and clinical trial datasets, and collaborating on dissemination through open-source R packages and associated tutorials
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) charging systems. This position is to recruit a member of the key technical team. Key Responsibilities : You will need to actively support R&D projects at EPGC in terms of project development, testing and
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27 November at 11.00pm AEST (Job Reference Number: R-57556).
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phone or urban mobility data. Advanced expertise in GIS and statistical tools or packages, such as R, ArcGIS Pro, QGIS, or STATA. Strong written and verbal communication skills. A developing track record of
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring