126 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
organizational and time management skills. Strong written and verbal communication skills. Proficiency in using software tools for NMR or cryo-EM data collection and processing is a plus. Familiarity with
-
Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
-
of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high quality reports and documents that consolidate research findings
-
the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
-
fellows. Join us to push the boundaries of clinical evidence synthesis and trustworthy guideline development by integrating artificial intelligence (AI) into these processes. Our mission is to enhance
-
are looking for a Research Fellow to support the research projects. The research fellows will work closely with the other institutes to integrate their systems into the processing of fibrous muscles. Key
-
and process of coatings require understanding on the surface properties and mechanical properties. Basic understanding on electrochemistry and electrical properties will be required for the applications
-
economics and behavioral experiments. Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R. Engage in academic activities (proofreading
-
, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
-
models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical