51 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" "Univ" positions at Newcastle University in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
techniques in the safety analysis of software components of a new dialysis machine , Science of Computer Programming, Volume-175, 2019, p17-34 [4] MC/DC . Modified Condition/Decision Coverage criterion. [5
-
, inequalities, or multimorbidity clusters. Advanced statistical modelling to identify unmet needs or high‑risk MLTC profiles. Re‑analysis of existing qualitative data from patients and healthcare professionals
-
overcoming significant technical hurdles: a) Adaptive Fault Monitoring: Traditional systems fail to identify root causes in multi-modal data streams; this project utilizes federated learning and graph neural
-
’) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a
-
, with rich clinical, dietary, environmental, and socioeconomic data. Using metagenomics and untargeted metabolomics, you will identify microbial species, pathways, and metabolites associated with PD, and
-
study. You will then need to provide the following information in the ‘Further Details’ section: A Personal Statement: one side of A4. The studentship code in the ‘Studentship/Partnership Reference
-
highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data analysis will be an advantage. Enthusiasm for field research, the ability
-
, stormwater/SuDS design, soil-plant-water interactions, or plant ecophysiology is highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data
-
to provide the following information in the ‘Further Details’ section: A Personal Statement: one side of A4. The studentship code in the ‘Studentship/Partnership Reference’ field:MSP124 In the ‘Supporting
-
(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators