236 data-"https:"-"https:"-"https:"-"https:"-"University-of-Ostrava" Fellowship positions in Singapore
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gaze tracking (including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent data
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impact, and cost-effectiveness. Design and oversee laboratory experiments to test the performance and durability of materials under simulated seawall conditions. Analyze and interpret data to make informed
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control, data analysis, and dissemination of results through publications, reports, and IP contributions. The Research Fellow is expected to work, generate ideas and experimentally prove them both
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+ intervention studies Supervise the collection and maintenance of clinical trial documentation, including data records, case report forms, and equipment maintenance logs Ensure compliance with clinical inventory
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with
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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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given to applications received by 30 April 2026: Personal Statement (500-600 words) outlining the reasons for seeking the Fellowship, the applicant's career goals, and any other pertinent information
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applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis