Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. About you The successful candidates : Have a PhD in bioinformatics/single
-
proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and proteomics) would be
-
; perform downstream bioinformatic analysis using appropriate tools (e.g., Seurat, Scanpy, Cell Ranger). • Analyze whole genome sequencing data sets • Collaborate with clinicians, computational biologists
-
and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and integrating molecular data. About
-
studies fundamental processes in endothelial cells driving cardiometabolic diseases including atherosclerosis, thrombosis and type 2 diabetes. In particular, the team interrogates the role of endothelial
-
continues to grow, offering exceptional career opportunities, green building and living, and innovative employers. Application Process: If you are interested in this position, please submit the following
-
research career at a Department of Energy national laboratory are encouraged to apply. BNL will select up to two Fellows during the selection process. Who should apply Successful candidates will be promising
-
biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis (gene expression data, flow cytometry data, etc). While our research is primarily
-
of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical technology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
-
organoids and co-culture systems. Key Responsibilities & Activities Process patient biopsies/PBMCs, generate single-cell datasets (scRNA/CITE-seq), and identify testable pathways. Validate targets in tissue