Sort by
Refine Your Search
-
research group has broad interests in understanding the coupling between physical and biological systems, with a focus on cold environments. Research conducted within the group spans the areas of spatial
-
enantioselective. Applicants should have (or be about to obtain) a PhD in synthetic organic chemistry. Experience in modern synthetic techniques in a leading research environment is essential, ideally in
-
which aims to motivate food companies to improve environmental performance beyond legal compliance. The project is funded by the Environment Agency and Department for Environment Food and Rural Affairs
-
Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
of Condensed Matter group, the role holder will overall be connected to a lively and stimulating scientific and social environment, with regular activities ranging from internal and external group seminars
-
environment, closely interacting with other circuit/systems neuroscience groups. Regular seminars held at the department and various scientific and networking events organised by the Cambridge Neuroscience
-
@medschl.cam.ac.uk . We strongly value and encourage Equity, Diversity and Inclusion as well as a flexible working environment. Location of post: Cardiovascular Epidemiology Unit, Department of Public Health and
-
offers an exceptional opportunity to join Dr. Maria Chondronikola's group which is based at the highly collaborative environment and world-leading Institute of Metabolic Science (https://www.ims.cam.ac.uk
-
environment that fosters intellectual curiosity and scientific excellence. Applicants should have a BSc or MSc degree (or equivalent) in a relevant discipline (Biology, Biochemistry, Natural Sciences) as
-
of trusted execution environments and cryptography would be desirable. The project will be part of a team effort, so experience of working in a team and using associated tools (revision control, bug trackers
-
, demonstrating sufficient specialist knowledge and methods to work within established research programmes; Experience of working in interdisciplinary environments and strong motivation to apply AI for scientific