57 algorithm-development-"The-University-of-Edinburgh" Fellowship positions at Zintellect
Sort by
Refine Your Search
-
for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
-
this unit maintain a comprehensive IAV research program including investigation of virulence mechanisms, vaccinology, immunology, and virus evolution. The participant will be based on the National Centers
-
learning background to help develop tools to transform data query, access, display, and sharing, perform analyses, present results, and publish manuscripts. Learning Objectives: The participant will learn
-
educational experience that will greatly enhance your career opportunities. In particular, you will gain hands-on knowledge of working with cultures of malaria parasites at different stages of development under
-
(RT-QuiC and PMCA), protein conformational stability assays, and prion strain characterization. Professional Development Opportunities: Opportunity to learn prion diseases Present research findings
-
a cross-disciplinary approach. Learning the mechanism of blast-induced neurotrauma and develop suitable countermeasures using pre-clinical models Focusing on neurosensory (auditory and ocular systems
-
postdoctoral fellow interested in learning and using contemporary functional genomics approaches (CRISPR, RNAi, transgenics, etc.) to characterize the functions of genes involved in biological development
-
scientists and communicate findings through manuscripts and newsletters. Learning Objectives: The participant will have an opportunity to gain experience in plant genetic analysis, pipeline development, trait
-
Organization U.S. Department of Defense (DOD) Reference Code ERDC-CHL-2025-0009 How to Apply Click on Apply now to start your application. Description The U.S. Army Engineer Research and Development
-
, genomics, and molecular breeding research. The fellow will help develop an extensible pipeline for NGS based whole genome sequencing, and genotyping for highly polyploid and complex genome sugarcane using