Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
experiments Relevant experimental method development Surface characterisation, optical and visual characterisation Data analysis Complete the doctoral education until obtaining a doctorate Contribution to
-
methods for analyses of large-scale genomic data such as genome-wide analyses, polygenic prediction, Mendelian randomization, functional bioinformatical follow up and network analysis. The project will
-
focus on how interactions between species at different trophic levels shape these responses. The project combines (1) analysis of long-term datasets to quantify historical changes in the distributions
-
. The successful candidate will work on field-based experiments, data collection, and analysis, focusing on understanding the interaction between floral resources, pollinator activity, and apple yield outcomes
-
technical work packages: WP1 Annoyance from wind turbines WP2 Wind turbine noise data collection and analysis WP3 Wind turbine noise source modeling WP4 Wind turbine noise propagation modeling WP5 Wind farm
-
technology, based on aluminium anodes and carbon cathodes. The development will be conducted in a multidisciplinary framework, implying that materials research is aided by sustainability analysis, and focused
-
announcing a PhD position in Logistics focusing on Immersive media technology environments in the analysis of consumer response in circular value chains. The PhD position is organized under Department
-
Element simulations (e.g. pushover analysis and/or incremental dynamic analysis). Moreover, the project aims to verify the ductility requirements with full-scale experimental results and explore
-
and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB
-
challenges in machine learning for short multivariate time-series analysis. By developing a multiway and multitask learning framework with built-in explainability, the project aims to deliver clinically