60 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at University of Birmingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which
-
Job Description Position Details Development and Alumni Relations Office Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £32,546
-
University of Birmingham | Belfast International Airport, Northern Ireland | United Kingdom | 2 months ago
of Birmingham through our presence in Dubai. Professional Services Ethos Our ethos as a Professional Services team has been developed in line with the principles of being a Birmingham Professional . In particular
-
algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
-
-leading database of MRI images of childhood tumours and have developed AI approaches to diagnose different types of tumour. To be useful for patients, this needs to be delivered in hospitals in real time
-
work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full
-
project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
-
holder will play a key role in supporting quantitative data analysis, including the development of statistical analysis plans, and interpretation in a cluster trial setting. There are also opportunities
-
inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
-
partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species