63 postdoc-in-thermal-network-of-the-physical-building research jobs at University of London
Sort by
Refine Your Search
-
& International Health is seeking to appoint a Research Assistant to support the Vulnerable Newborn Stillbirth Collaboration (VN-SB) LSHTM core team. The Vulnerable Newborn Stillbirth collaboration is a network of
-
for studying mediation using longitudinal data exhibiting irregularity and informativeness of the visiting process. The work is motivated by the aim to find mediating mechanisms of cardiovascular disease in
-
research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https
-
environmental epidemiology research team at LSHTM to work on the new HEARTH project: National hub on net zero, health and extreme heat, which is funded by UKRI and NIHR. This is an exciting opportunity to be part
-
uncertainty. Relevant areas include interpretable probabilistic, causal, Bayesian, and knowledge-based networks. While expertise in electromagnetics is not essential, applicants must be willing to broaden
-
@rhul.ac.uk For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please quote the reference: 0825-198 Closing Date: 23:59, 17 September
-
management of anemia, a leading causes of morbidity and mortality globally. The postholder will be part of the international BloodCounts! Consortium, a collaborative network of partners across multiple UK
-
and networking. They will be working within a vibrant community of research degree students and researchers at both institutes. The post-holder must have a relevant first (or postgraduate) degree in
-
PAC Leads, supporting them through research design, data collection, analysis and dissemination. Working 2 days at Abernethy Building, Whitechapel and 3 days at Coffee Afrik's Youth Hub, you'll receive
-
for Health and Care Research (NIHR). The aim of this project is to build an instrument, leveraging statistical and machine learning techniques, to allow surgeons to examine the sentinel lymph nodes during