Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
• Training courses in cutting-edge technologies (OMICS technologies, innovative human infectious disease models (e.g. organoids, iPSC), bioinformatics, AI) and soft skills required for a successful career
-
of this program is to discover clinically relevant candidates that can be fast tracked for clinical development. The lab uses a combination of bioinformatics, biochemistry, animal modelling, Crispr screening and
-
bioinformatics support, and training and networking supports through our leading role in the Canadian Islet Research and Training Network (www.islets.ca ). Duties Specific duties will depend on the project focus
-
proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and proteomics) would be
-
bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
-
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
-
data at the IBM-CC Accelerator Discovery Program (the first Quantum Computer at the Cleveland Clinic Main Campus), Genomic Medicine Institute, Miller Family Heart & Vascular Institute, Taussig Cancer
-
; perform downstream bioinformatic analysis using appropriate tools (e.g., Seurat, Scanpy, Cell Ranger). • Analyze whole genome sequencing data sets • Collaborate with clinicians, computational biologists
-
myocarditis and vaccine-induced immune thrombotic thrombocytopenia. The successful candidate would be expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics
-
longitudinal aging study, the Betula Project, as well as the UK Biobank. The candidate will handle, process, and statistically analyze large amounts of data on blood markers, cognitive tests, and health and