14 data-"https:" "https:" "https:" "https:" positions at Loughborough University in United Kingdom
Sort by
Refine Your Search
-
including 16 PhD students trained in several European countries (https://cordis.europa.eu/project/id/101227338 ). You will be appointed for three years, during which time you will study for a fee free PhD
-
the question ‘how close to failure is the asset?’. By integrating a suite of state-of-the-art sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely
-
world. The project aims to: Update and expand a Moodle-based comparative judgement plug-in (see https://moodle.org/plugins/assignsubmission_comparativejudgement) plug-in to improve functionality and usability; Update
-
on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – UKRI through Flood-CDT (https://flood-cdt.ac.uk/ ). The studentship is for 3.5 years and
-
minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – UKRI
-
, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
-
(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
-
relevant subject. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk
-
will yield spatially varying uplift information on timescales of ~1-10 ka, complementing the historical or archaeological ( 0.1 Ma) records. Pilot fieldwork has identified key sites (e.g. varying
-
This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture