216 application-programming-android-"Prof" Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
-
, lamination, and testing. He/she will contribute to the development of new application driven materials and production processes, located mostly at Nanyang Technological University. Key Responsibilities: Lead
-
The National Institute of Education invites suitable applications for the position of Senior Research Fellow on a 15-month contract at the Policy, Curriculum and Leadership Department. Project Title
-
fellow to conduct research on manufacturing of colloidal metamaterials that will be applicable in diagnosis of diseases. The role will focus on synthesis and characterization of the developed materials
-
of programming languages such as matlab and Python. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
-
other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
-
to the development of high-performance, multimodal sensor systems with strong application potential in digital healthcare, robotics, and smart environments. The successful candidate will be an integral part of a
-
programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
-
and application of thermoelectric materials for targeted applications. Key Responsibilities: Preparation of thermoelectric materials, hot pressing, thermoelectric material testing and module preparation
-
computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning models for prediction and recommendation Job