72 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Manchester Metropolitan University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of Sport Science (ECSS). Taking place at Manchester Central Convention Complex from 20–23 July 2027, the ECSS Congress is one of the world's largest and most prestigious conferences in sport and exercise
-
to be part of a major NERC funding program and be part of the SUPERSLUG team involving researchers from the Universities of Plymouth, Exeter and Newcastle. The project seeks to reveal new fundamental
-
, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
-
Manchester Metropolitan University is seeking a Research Associate to join Professor Aneil Malhotra's research team within the School of Sport and Exercise Science. This is an exciting opportunity
-
progress from fundamental surface science to the fabrication of intelligent, multiplexed sensor arrays, enabling fast and reliable cardiovascular health monitoring. This exciting 3-year PhD will be conducted
-
, including projects funded under the Horizon 2020 programme, the AHRC, the Wellcome Trust, or commissioned by national agencies, local councils, and charities. We are recruiting a Postdoctoral Research
-
the Library Transformation Programme, and build strong, collaborative relationships across the University and beyond, engaging widely to influence thinking, inform strategic direction and enhance the Libray and
-
Background: We are seeking to appoint a new Research Associate to join the research team of Professor Russell Harris in the Department of Engineering at the Manchester Metropolitan University
-
This 3-year full-time funded PhD opportunity in partnership between Department of Life Sciences at Manchester Metropolitan University and Liverpool Heart and Chest Hospital . This project provides
-
Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow