233 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" Fellowship positions in Singapore
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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The Wee Kim Wee School of Communication and Information (WKWSCI) at Nanyang Technological University (NTU), Singapore, invites application for three Research Fellow positions. NTU is a global leader
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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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of Fine Arts to conduct user journey mapping and develop user archetypes through arts-based engagement approaches. • Triangulate quantitative and qualitative data to generate practice-oriented insights 2
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated and innovative senior research scientist to join our cutting-edge project at the intersection of RNA therapeutics
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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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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dynamics (MD), or ab initio molecular dynamics (AIMD), to investigate polyamide interfacial polymerization, interfacial reactions, or transport mechanisms. • Experience in data-driven modeling or machine
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl