279 postdoc-in-distributed-systems-and-controls positions at University of Manchester
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. This is an exciting team to join us at the University as we develop our ambitious Manchester 2035 strategy and the enabling professional services vision. Our role in the People Directorate is more critical
-
The University of Manchester is seeking a talented senior bioinformatician to lead the bioinformatics team within the Next Generation Phenotyping and Diagnostics (NGPD) theme of the Manchester
-
is essential: immunohistochemistry, electrophysiological recording, working with laboratory rodents and/or collection and processing of rodent brain tissue. Training in neuroscience and/or experience
-
) will provide an agile technical support service to staff and students to support teaching, research and professional services. FSE’s research and teaching quality is recognised globally; this is an
-
Partner is a key role within the newly created Organisational Effectiveness and Culture centre of expertise. The goal of the team is to scope, develop and implement the strategies, approaches, frameworks
-
Design, Talent and Succession Partner is a key role within the newly created Organisational Effectiveness and Culture centre of expertise. The goal of the team is to scope, develop and implement
-
Design, Talent and Succession Partner is a key role within the newly created Organisational Effectiveness and Culture centre of expertise. The goal of the team is to scope, develop and implement
-
Spintronic Technologies (NEST) group. The NEST group is a vibrant community of interdisciplinary researchers working on a variety of topics including spintronics, magnetic data storage, nano-technology
-
pregnancy. The programme will evaluate indoor air pollution in pregnant participant’s homes in the first UK-wide study of the kind. The programme is led by Dr Lucy Higgins, Senior Clinical Lecturer, Clinical
-
of statistical methods for adaptive sampling. At present, we collect real-time data from patients at regular intervals. We would like the digital system to monitor user data in real-time and learn to dynamically