152 software-formal-method-phd Fellowship positions at National University of Singapore in Singapore
Sort by
Refine Your Search
-
Listed
-
Field
-
progress, in-house training will be provided in advanced methods, including cryo-TEM, cryo-electron tomography (cryo-ET), and correlative light and electron microscopy (CLEM) The selected candidate's key
-
. • Work with research partners from various governmental sectors to understand their requirements. • Uncover efficient methods to work with point cloud data derived from various forms LiDAR scanners
-
various assessment methods and advanced statistical techniques, including ecological momentary assessments (EMA), ecological momentary interventions (EMI), micro-randomised trials (MRT), and other trial
-
. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
-
new models of examining the data To provide teaching to junior staff in the lab in neuroscience-related research methods, especially in pre-processing and processing of EEG data from infants/children
-
bipolar Na-ion cells will be fabricated using existing proto-type facility at NUS. Besides testing their storage performances, the team intends to use electrochemical methods including impedance
-
theoretical framework development, method development, and empirical works in collaboration with clinicians, medical innovators, and decision makers. The successful candidate will be expected to perform
-
administrative and coordination activities. Qualifications Applications will be considered from candidates who meet the following qualifications: A strong desire to advance global health capacity in Asia. A PhD or
-
rapid increase in the uptake of higher research degree candidacies (especially PhDs), the provision of technical training to the Department, and the support of clinical trials. The successful applicant
-
of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also