Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
analysis and electrical engineering. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: Statkraft is a leading provider of Stability Services
-
that integrates online behavioural experiments, multi agent simulations, and the analysis of animal communication data. Social coordination on group interaction structures: Extending the naming-game framework
-
or mechanical engineering, specifically on end of life and life extension analysis for wind farms. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project
-
in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, data collection, data analysis, report writing). Hands-on experience with experimental software (e.g
-
provides training in applying advanced statistical methods (such as Structural Equation Modelling, Latent Class Analysis and/or Multi-level Modelling). You should be able to demonstrate competencies in
-
analysis, Rresource allocation, growth and welfare evaluation, Technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer-reviewed
-
research into predictive failure analysis methodologies for HVDC interconnection systems. This will include assessments of primary components such as switchgear and power transformers, as well as essential
-
semi-structured interviews, surveys, focus groups, analysis of existing data sets, and fieldwork with critical analysis, contributing both to academic debates and to practical understanding
-
of social justice, development and inequality, and theories of care. You are trained in qualitative methods and analysis approaches. You have experience in collecting and analysing qualitative data, ideally
-
-PhD-04-25 AI-Driven Multimodal Non-Contact Sensing for Human Gait Modelling and Analysis - Eng-PhD-02-25 "Synthetic Data Generation and Physics-Informed Learning for Chemical Engineering Applications