10 Arts and Literature research jobs at King's College London in United-States in United Kingdom
-
are hallmarks of the SGDP. [AB1] The ADHD Remote Technology (ART) research programme, led by Professors Jonna Kuntsi and Richard Dobson, focuses on the development and application of a novel remote measurement
-
Irene Higginson and Matthew Maddocks to support existing research activity, including analysing existing data, liaising with centres, undertaking literature reviews, and supporting data collection. You
-
prior experience with the development and submission of PRET funding proposal, knowledge of literature on opioid use disorder treatment in prisons and after release in the community, established working
-
acquire a range of research and transferable skills. They will contribute to the writing and publication of high-quality papers in peer-reviewed literature and will benefit from mentoring, training, and
-
variety of audiences 3. Clinical Trial management experience including reporting, data monitoring, ethics etc 4. Excellent research skills including literature searches, writing papers, presenting
-
literature around work, labour market (flexible working), well-being research, in particular in a cross-national comparative perspective 6. Interest and knowledge in labour market inequality across gender
-
-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators have access to state-of-the art core facilities and expertise, including
-
state-of-the-art laboratory facilities. This is a full-time post (35 Hours per week), and you will be offered a fix-term contract for 3 years. About You To be successful in this role, we are looking
-
recording the outcome of experiments, the development of questionnaires and conducting surveys Conduct literature searches and update knowledge and develop skills Write up results of own research Contribute
-
clinical predictions. Uncertainty quantification – the postholder will develop and apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by