Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
. We have established a cutting-edge research program in spatial analysis of bladder cancer, leveraging advanced imaging and spatial transcriptomics technologies. Our lab focuses on understanding
-
strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
-
motivated, independent yet willing to collaborate with other team members and eager to develop and pursue a novel research program. A strong background in utilizing mouse models of disease is preferable but
-
work in a highly interdisciplinary research program that interfaces developmental and stem cell biology, regenerative medicine, cardiovascular diseases, metabolism and physiology. Postdoctoral Scholars
-
The DEPRESsion Screening Data (DEPRESSD) Project is a collaborative endeavor, set up by Drs. Brett Thombs and Andrea Benedetti, to evaluate the diagnostic accuracy of depression screening tools and answer other important mental health research questions using individual participant data...
-
uniquely positioned to enable translational discoveries due to the enormous university-wide investments in biomedical informatics and precision medicine. These investments are exemplified by BioVU, a biobank
-
in the laboratory and institution. A potential focus could be the intersection of nutrient processing and the neuroendocrine response to cancer as part of a fully funded research program. The selected
-
research programme at King’s and to compete for intermediate-level post-doctoral fellowships from Research Councils, the Wellcome Trust and other funders. The awards may be held in any part of King’s College
-
the broader scientific community through writing papers, presenting at conferences, and writing grants. Employ computational approaches to analyze complex data sets, including next generation sequencing data
-
to record complex molecular phenotypes to DNA Scaling state-of-the-art genome editing technologies to produce data capable of training or refining computational models Discovering new mechanisms underlying