-
with researchers within the group, including technical staff members, PhD students and post-doctoral fellows. This role requires a strong and established background in working with stem cells, generating
-
& wider impact work). Secondly, you will do qualitative research with Prof. Ben Geiger and Prof. Karen Glaser as part of CSMH’s programme on ‘Work, Welfare Reform and Mental Health’. In particular, you will
-
is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
-
of York. Based within the Addictions Department at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas
-
programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
-
you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy
-
and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Proven experience in managing research projects within healthcare or educational settings, including
-
experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
-
schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz
-
development laboratories at Guy’s Campus, London Bridge. The group specialises in inventing custom fluorescence-lifetime and multiphoton technologies and coupling them with powerful computational pipelines