Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
roles: Developing statistical analysis plans and implementing analysis Leading and contributing to the writing of research protocols, ethics applications, and publications in peer-reviewed journals
-
quantitative and/or qualitative research design, data collection and analysis • Have a good track record in leading research projects and stakeholder engagement. Experience in securing research grants and
-
NTU Facility for Analysis, Characterisation, Testing and Simulation (FACTS) invites applications for the position of Senior Research Fellow. Key Responsibilities: Responsible for running of Single
-
Sun on LRRK2 project under a project on Develop novel allosteric inhibitor of LRRK2. The main responsibilities of the position include: 1. Developing innovative methods for the structural analysis
-
Southeast Asia's agriculture. By combining historical analysis, machine learning, and innovative modelling, this research seeks to provide stakeholders with essential knowledge for proactive decision-making
-
or adaptive designs. • Proficiency in at least one of the following: R, Python, JavaScript, or other relevant data analysis or app development tools. • Familiarity with EMA, EMI, MRTs, or SMART designs is
-
• Collaborate with other team members to design experiments, develop simulation methodologies, data collection and analysis • Assist in the preparation of research proposals and technical reports • Lead in
-
(collection and analysis) is a plus Qualifications ● Ph.D. in Cognitive Science, Public Health, Medical areas (e.g., Neuroscience), Psychology, Health Economics, or related disciplines ● Significant
-
: - Independently carry out the design and execution of experimental research required by the research component of the project. Write and review research papers, present research outcomes, conceptualise new ideas
-
, corporate financial statements, and credit risk analysis, is required. A thorough knowledge of the research field of sustainable economics or finance is highly preferred. Quantitative analytical and/or