Sort by
Refine Your Search
-
) or/and computational analysis of large data sets are preferred. Please send your CV and the names of three references to Dr. Tingting Jiang (tingting.jiang@mssm.edu)
-
the process of measuring and analyzing high-throughput, multi-dimensional omics data integrating single cell transcriptomics and spatial proteomics of immune cells from CSF and blood as well as human brain
-
questions in human disease and health. Our work focuses on Alzheimer’s disease, cancer, and heart disease, which could have a major impact in identifying real-world big data-driven diagnostic biomarkers and
-
. The NOMIS-ISTA Fellowship Program provides postdocs with the freedom to work on big unanswered questions and high risk research at the intersection of two or more scientific disciplines. ISTA offers
-
to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
-
of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential. Ability to communicate complex information clearly. Excellent
-
interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
-
Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare The Computational Health Informatics Program (CHIP) at Boston Children's Hospital, affiliated with
-
oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor prognosis, and this clinic
-
challenge due to limited patient data—especially at the single-cell level—making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data