Sort by
Refine Your Search
-
areas: Time-series analytics or forecasting Natural language processing (especially question answering or language grounding) Multimodal learning (e.g., combining text with temporal or numerical data
-
publications. Ability to work independently and as part of a multidisciplinary team. Excellent communication, organizational, and problem-solving skills. Qualifications ... More Information Location: Kent Ridge
-
knowledge, skills and technical expertise in supporting various biological research activities. Equipped with basic routine laboratory skills, including biological safety. Possess interpersonal communications
-
, technical reports, policy briefs, and thought pieces that extend the reach and application of the Centre’s research Support the translation of research outputs into frameworks, tools, and communications
-
at once Communicating with stakeholders to understand business challenges and potential solutions Qualifications Doctorate degree in a quantitative discipline (eg. data science, computer
-
to communicate technical scientific results verbally and in written formats to an interdisciplinary team. • The ability to work effectively independently and as part of a team. • Ability to interact with policy
-
neuroscience is desirable. Self-motivated and well-organized with good written and oral communication and technical skills. Able to work independently and collaborate effectively in an interdisciplinary team
-
neuroscience is desirable. Self-motivated and well-organized with good written and oral communication and technical skills. Able to work independently and collaborate effectively in an interdisciplinary team
-
impact on the relevant field attracting research funding. Develop contacts and research collaborations within the School and the wider community. Perform other related duties incidental to the work
-
. • The ability to work independently and collaboratively within a multidisciplinary team. • Strong writing, critical thinking, communication, and presentation skills. • Experience in Machine Learning is a