Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
. Respond to student queries related to these assignments. Qualifications: Graduate student at McGill. More than one year of single-cell data analysis experience. Have developed more than 1 bioinformatics
-
consultation with the TA Qualifications: Domain knowledge in one or more of the following: bioinformatics, bioengineering, computational biology, biostatistics, biophysics, mathematical modeling, statistics
-
related to equity, diversity, and inclusion Preferred Qualifications Advanced degree (MPH, MS, PhD, or equivalent) in biomedical sciences, public health, bioinformatics, or a related field. Strong
-
, genomics and bioinformatics to convert basic science insights into biotechnology innovations. The candidate is expected to contribute know-how in materials science, biofabrication, design and manufacturing
-
design, and bioinformatics. Preferred experience in muscle dystrophy diseases/ muscle biology/ muscle stem regeneration and RNA interference. Application Process: Interested applicants should submit a CV
-
cell therapy or related immuno-oncology setting Experience with in vivo tumor models Familiarity with bioinformatics tools for data analysis Knowledge of Good Laboratory Practices (GLP) What We Offer A
-
. Application areas include robotics, social data science, bioinformatics, natural language processing, climate change, big data systems, communications, microelectronics and computer systems. Montreal is home to
-
expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills
-
of research in MS and other neurological diseases in a basic science laboratory with a focus on neuroimmunology, neuroscience, immunology, molecular biology, bioinformatics and biostatistics Reports to the SK
-
, and mathematics. Application areas include robotics, social data science, bioinformatics, natural language processing, climate change, big data systems, communications, microelectronics and computer