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Field
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(i.e., Person-in-charge of Division of Industrial Data Science). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer
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of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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Knowledge and skills in using a range of software programs including but not limited to Microsoft Office Suite (Word, Excel, and PowerPoint), SPSS, STATA. Ability to work independently. Ability to organize
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programme. General Requirements The applicants should have a PhD degree in history, digital humanities, or a relevant discipline by the time of appointment in August of 2024. Appointment at the associate
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. Bursaries and scholarships are available for the subjects listed below. You will need a first, 2:1, 2:2 or a PhD or Master's to be eligible for a bursary, as well as meeting the bursary's scheme's individual
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of Philosophy in Pharmaceutical Sciences (PhD) Developing small molecule inhibitors of STAT1 protein in rheumatoid arthritis View All Stories Further Information Please review the harmonized program description
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. Qualifications PhD in Sociology or related field. A track record of publishing and seeking funding. Collaborative research experience in areas supporting UT-ORII’s Circular Bioeconomy Systems mission, including
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or qualitative analysis of datasets (including use of SPSS, R or other relevant software) Evidence of research productivity, such as report-writing and writing papers for publication Additional Information Part
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visits. Data entry, management and calculations using a computerized database, word processing and spreadsheet software; review data input for accuracy and completeness. Actively communicate and update
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analysis (using software like Excel and SPSS) under supervision. Skills gained This role offers immense value, as the student will gain practical research experience in the rapidly growing fields