335 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
techniques for feedstock and high value products characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics Please contact Dr Orla Williams
-
support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
-
support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
-
focus on understanding how enzymes behave when multiple competing compounds are present and how this behaviour can be used to improve biocatalytic process design. Benefitting from the supervision of Dr
-
, active power pulsations and magnetics optimisation. You will work with Dr. Tabish Mir and Dr. Alan Watson at University of Nottingham’s Power Electronics and Machines Centre, which is a purpose-built £18M
-
internationally recognised experts: Dr Zakhar Kudrynskyi, Prof. David Grant and Dr Timothy Cooper. Together, the supervisory team brings complementary expertise in thin-film growth, functional and dielectric
-
Medicine and Science. The work is a collaboration between Dr Pavel Gershkovich, Prof Kin-Chow Chang, Dr Leah Goulding and Prof Chris Hayes. A few years ago, we made a groundbreaking discovery of a plant
-
transport with health outcomes, supporting the development of a new generation of infection-resilient building standards. You will join an experienced, collaborative team led by Dr Benjamin Jones and Dr Chris
-
to a range of benefits and rewards, including fitness facilities, staff discounts, travel schemes and more. To find out more what we can offer, see our benefits website Further information available in
-
searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty analysis. This role offers a rare opportunity to bridge public health and building science