125 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
in top-tier conferences and journals Job Requirements: PhD or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. Strong background in IC front-end
-
conferences and journals Job Requirements: PhD or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. Strong background in IC front-end design
-
for the project. Participate in the process of writing and publishing research papers in top-tier conferences and journals. Support the research team in documentation and reporting activities for the grant agency
-
the structure and functions of the human brain, with particular emphasis on both normal and pathological cognitive processes. Located in the Experimental Medicine Building on NTU’s main campus, CoNiC is equipped
-
the application form, programme structure, mentorship, service agreement, application process – can be downloaded here . The application deadline is 31 December 2024. The Evaluation Committee will only start
-
the research process. For those working on the perspectives of ASEAN, the ability to use a Southeast Asian native language for research purpose will be an added advantage, though it is not a prerequisite
-
++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
-
bioimaging. Investigate quantum effects and entangled photon-driven processes in photochemistry, in collaboration with internal and external research groups. Mentor undergraduate and graduate students, and
-
in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
-
. Conduct research on optimization techniques and machine learning models in Air Traffic Management systems/airport operations. Collect, process, and analyse air traffic data relevant to the project. Develop