43 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" positions at The University of Southampton
Sort by
Refine Your Search
-
the Digital Services application support team who are responsible for the digital services that underpin the work of NIHRCC and also offer support to the School. Further information can be found at: https
-
Science at the University of Southampton as part of the group of Dr Ruomeng Huang (R.Huang@soton.ac.uk ). This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source Precursors for the Electrochemical
-
Project summary An exciting opportunity is available to join a multidisciplinary research programme across the laboratories of Dr Salah Mansour, Dr Ali Roghanian and Dr Andres Vallejo
-
of Electronics and Computer Science at the University of Southampton as part of the group of Prof. Kees de Groot and Dr Ruomeng Huang. This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source
-
Project summary An exciting opportunity is available to join the laboratories of Dr Ali Roghanian and Dr Salah Mansour at the University of Southampton in collaboration with MiNK Therapeutics. We
-
Project summary An exciting opportunity is available to join the laboratories of Dr Ali Roghanian and Dr Salah Mansour at the University of Southampton in collaboration with MiNK Therapeutics. We
-
We are seeking highly motivated post-doctoral researchers of high calibre to join our research program working in the area of electronic textiles. The role is suited to candidates from either
-
We are delighted to welcome applications for the position of Research Fellow within a new ESRC-funded research project led by Prof Elizabeth Evans and Dr Stefanie Reher (Strathclyde) on Disability
-
findings, contributing to design recommendations, and disseminating outcomes through publications and engagement with relevant industry stakeholders and events.You are invited to contact Dr Sheida Afshan
-
the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process