13 data-"https:"-"https:"-"https:"-"https:"-"Stanford-University" PhD positions at Loughborough University
Sort by
Refine Your Search
-
of real-time adaptive 3D inspection, dynamically adjusting its measurement strategy based on data quality as well as environmental and scene cues. Positioned at the intersection of robotics, computer vision
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data
-
to missed detections, unstable feature extraction, and reduced confidence in data interpretation. Current perception pipelines treat observations as direct ground truth, yet at sea the visual signal is a
-
, primarily due to validation gaps in high-pressure boiling phenomena and the lack of high-fidelity experimental data. Building on recent advances in non-intrusive, high-resolution optical diagnostics
-
an advantage. English language requirements: Applicants must meet the minimum English language requirements . Funding information: The studentship is for 3 years and provides a minimum tax-free stipend
-
or further information, please direct all queries to Dr. Lulu Xu at l.xu@lboro.ac.uk Funding information: As this is a China Scholarship Council (CSC) based scholarship this is only open to Chinese nationals
-
to a myriad of new techniques and much sought-after skills demanded by industry, including the following: Design of experiments, data harvesting/analysis and interpretation of results to derive insight
-
the life cycle of its products. Existing practices often overlook indirect (Scope 3) emissions and fail to integrate real-time data analytics or life cycle assessments for decision-making. Therefore
-
respond to intense rainfall and enhanced sediment transport. The successful candidate will develop advanced skills in geomorphology, hydrology, environmental data analysis, and climate resilience