Sort by
Refine Your Search
-
implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
-
will contribute to our overall goal of advancing novel therapeutic targets for neurodegenerative disease. Candidates with backgrounds in computational biology, stem cell biology, or neuroscience
-
phage display serological profiling (PhIP-Seq) while also working on complementary projects in next-generation sequencing (NGS), molecular assays, and computational pipelines. The role combines wet-lab
-
Position Overview School / Campus / College: College of Arts and Sciences Organization: Astronomy Title: Postdoctoral Scholar - Roman Crowded Field Photometry Specialist Position Details Position Description Postdoctoral Scholar - Roman Crowded Field Photometry Specialist The Department of...
-
and William Wilcock where they will have access to in-house petascale computing facilities and cloud computing allocations. They will interact widely with all the participants in the project and have
-
about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking
-
on this tradition, the program is now positioned to lead the next era of FLASH and ultra-high dose rate radiotherapy research, leveraging decades of excellence in both biological discovery and technological
-
technologies, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human
-
Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome Sequencing
-
level. The position requires working collaboratively with a team of experimental and computational biologists to integrate genetic and genomic data with mathematical modeling to better understand