73 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at Cranfield University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics
-
effective use of technology to support day-to-day operations. The postholder will be supported to develop their skills in a variety of areas, including Power Automate, Power Apps, Power BI, and software
-
Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please
-
more research is required to establish the inter-dependencies between these properties with the help of high resolution images. In this research, different sets of composites material will be dynamically
-
their potential via apprenticeships. You will champion the use of technology to underpin and evidence the apprentices learning and support the journey towards successful apprenticeship completion. About You You
-
Platform-based solutions and lead projects that drive efficiency, enhance user experience, and contribute to the University’s wider transformation programme. About You You will have a degree in IT or
-
projects that drive efficiency, enhance user experience, and contribute to the University’s wider transformation programme. About You You will hold a degree in IT or equivalent experience and a strong track
-
. Whether working independently or supporting others, you are passionate about using technology to solve problems, streamline operations, and build capability across the organisation. About Us As a specialist
-
range of future careers. Should there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. At a glance
-
This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at