Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
will be accorded to candidates aspiring to pursue an academic career, as the program is specifically designed to support such aspirations. Alongside specialized mentoring, the Research Fellow will have
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
-
training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
-
Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
-
The Institute for Digital Analytics and Science, IDMxS, is a unique interdisciplinary Singapore Research Center of Excellence (RCE) funded by the Singapore Ministry of Education, Nanyang Technological University, NTU, and National University of Singapore, NUS, and hosted by NTU. IDMxS is focused...
-
. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
-
. ● Computational skills is a plus (e.g., experience with computational modeling, AI models, familiarity with Python, etc) ● Familiarity with EEG, Brain-Computer Interfaces, biofeedback systems, or biomarkers