Sort by
Refine Your Search
-
PhD) having extensive experience in Cardiac Physiology, Molecular Biology, animal work, manuscript preparation. During this position, the post-holder will undertake a range of activities, including
-
to work with state-of-the-art instrumentation and collaborate with experts in the fields of synthetic organic chemistry and chemical biology. The candidate should hold a PhD in organic chemistry, or related
-
understanding and practical experience of molecular biology, biochemistry, microbiology and tissue culture techniques. The purpose of this role is to: Provide expertise in lab media preparation for bacteria and
-
opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
-
Research Hub (Future BRH) at The University of Manchester. You will undertake research at the interfaces of responsible research and innovation (RRI), governance, and engineering biology. We are keen to
-
; synthetic biology; analytics and computer science. The successful applicant should have a strong background in biocatalysis and directed evolution and a good understanding of the industrial biotechnology
-
research programme in pharmacy practice, workforce, and education. The successful candidate will provide strategic leadership to the Drug Usage and Pharmacy Practice (DUPP) group, secure external research
-
invites applications for our NIHR Clinical Lectureships. You will join our successful Integrated Academic Training (IAT) programme which is funded by the National Institute of Health Research (NIHR
-
infrastructure, enabling effective use of the facility for these cutting-edge experiments. Applicants should hold, or be nearing completion of, a PhD in cancer biology, radiobiology or a related biological science
-
this project we will develop a novel experimental system that is complex yet tractable, enabling rich, coordinated multi-omics analysis coupled with computational modelling to deliver deep mechanistic insight