Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
replicability Assist in thematic coding and clustering of research findings Support scoping review, creation of summary tables, and conceptual maps. Contribute to writing methods and results sections following
-
Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the non-coding RNA (ncRNA) biomarker discovery
-
advanced proficiency. Working knowledge of widely used statistical tests. Functional proficiency in statistical coding using R, Python, or similar programming languages. Proficiency in written and spoken
-
and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. • MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git
-
Compile survey data Summarise and code interview data Draft presentation slides Co-write and edit progress and final reports Undertake administrative duties relating to the dissemination of findings
-
operational aspects Strong organisational and multitasking skills, with the ability to prioritise and manage multiple tasks and responsibilities Possess professional values that are in line with the Code
-
the ability to prioritise and manage multiple tasks and responsibilities Possess professional values that are in line with the Code of Ethics of SAC Possess good interpersonal and communication skills
-
coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students and supporting research teams
-
learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc
-
Management Ensure data accuracy, consistency, and secure storage in accordance with research protocols. Perform preliminary data cleaning, coding, and entry for statistical analysis. Assist in the preparation