406 machining-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
-
that drives the future earthquake hazards Rapid generation of disaster maps (damage proxy) for earthquakes and volcanic activities Engage machine learning techniques to improve the InSAR deformation and
-
methods for modelling, simulating, and understanding complex dynamical processes with a focus on Earth system science, and connections to physics-informed learning, and interpretable machine intelligence.
-
theoretical statistics, statistical machine learning, high-dimensional inference, empirical process theory, stochastic modeling, optimization, or related areas. • Experience with writing and developing
-
machine learning, particularly at the intersection with control, dynamical systems, and ODE/PDE theory Collaborate with the research team on ongoing projects, exchanging ideas and insights, and contributing
-
the AI-based Digital Pathology (AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical
-
University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
-
integration of advanced optical sensing and machine vision systems for Body-in-White (BIW) surface inspection in automotive manufacturing. Key Responsibilities Design, develop and integrate optical sensing and
-
record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, or optimization Proficient in both written and spoken
-
civil engineering or related field. At least 1 year of relevant experience in machine learning and structural health monitoring. Good written and oral communication skills. Proficiency in ABAQUS, and lab