30 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Michigan-State-University" Fellowship positions at University of Nottingham
Sort by
Refine Your Search
-
About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding
-
topology selection, gate drive design and EMC; practical lab skills in converter characterisation, instrumentation and data acquisition. If you enjoy solving difficult engineering problems, working in a fast
-
into products. This toolkit will be composed of an integrated suite of software and experimental tools and will be informed by the collection of data en route to the development of advanced 3D printed products
-
to ensure compliance and safe use of the technology Data capture, recording of data and report writing to a professional standard. The successful candidate must possess: Ability to work independently and as
-
quantitative and qualitative data, and contributing to intervention delivery and monitoring. You will work closely with academic and clinical collaborators and help build effective relationships with a range of
-
We are looking for an experienced researcher with expertise in the generation and analysis of quantitative education data to work in the Observatory for Mathematical Education ; a collaboration
-
analysing the data using NVivo and Critical Discourse Analysis. You will also contribute to a critical historical discourse analysis of migration narratives and an expert-consensus Delphi study, disseminate
-
Wilson, Professor of Agricultural Economics, and will undertake data extraction, analysis and modelling of on-farm practices from panel data drawing on the Farm Business Survey (FBS). The successful
-
of next-generation RNA sequencing (RNA-seq) data from patient-derived extracellular vesicle samples to identify DLB-specific RNA signatures. They will also support the implementation and evaluation
-
In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology