Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
-
, molecular genetics, genomic and proteomics approaches in cell lines, mice, and human samples to achieve the research goals. The overarching goal of this research is to identify a druggable biomarker to yield
-
. The Centre has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with neuropsychiatric and severe mental
-
: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
-
-physiological interactions, biomarker discovery and metabolomics. We welcome applications from both data scientists and bioinformaticians prepared to support analytical measurements, or analytical scientists with
-
University of California, San Francisco | San Francisco, California | United States | about 2 months ago
bargaining agreement. The salary range for this position is $21.47 - $25.29 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
-
educational programmes for master's, PhD students, and postdoctoral researchers (full details at http://www.iciq.org/ ). Our mission is to lead, from the perspective of molecular science, in developing cross
-
involved in projects that handle big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to better understand Alzheimer’s disease and related dementias. Overall
-
(ALS), Alzheimer's disease, and Parkinson's disease. The work investigates molecular pathways of degeneration and biomarkers, as well as pharmacological approaches to neuroprotection in cellular and
-
specimen- and data-rich resources that drive innovative biostatistical and statistical methods. Opportunities for broader impact include initiatives such as the Cancer AI Alliance: https