Sort by
Refine Your Search
-
responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
-
Energy and Climate Change Division We are seeking a Post-doctoral Research Fellow to work on a variety of projects addressing energy, energy efficiency and relevant data analytics. The post will be
-
cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
-
to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. For further information please contact: Prof. George Chen, email: g.chen@soton.ac.uk Applications
-
(EMS) Developing a procedure for local manufacture of electrolyte Analysis and publication of data from the installed battery The successful candidate will work in collaboration with SOLead Energy, a
-
approaches to understand fundamental biological processes, with the goal of using this information to generate engineered antibodies for use as therapeutics in cancer and autoimmune disease. The appointee is
-
: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
-
. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
-
to the development of intelligent design workflows using CFD and data-driven methods to assess and optimise next-generation vessel designs. You will collaborate closely with project partners, applying state-of-the-art
-
WellthLab . The WellthLab's mission is to explore how interactive technologies can support people to feel, how they feel, better. Our philosophy is to design for a minimal data dose, and our main methodology