Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
advancing brain mapping research and pediatric MRI data science within the organization. This senior-level position collaborates closely with interdisciplinary teams, leading brain mapping and MRI data
-
University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 4 days ago
Columbia V6T 1Z4, Canada [map ] Subject Areas: Molecular Biology / Molecular Biology Bioengineering Teaching and Learning Biotechnology Immunology (more...) Data Science Genomics STEM Discipline or STEM
-
relevant discipline would also be suitable. Masters or PhD degree in Engineering, Physics, Chemistry or other relevant discipline is preferred. A minimum of 5 years of experience or the equivalent
-
Qualified candidates will have completed a PhD within 5 years in a relevant discipline such as population and public health, occupational health/epidemiology, occupational science, or any health science field
-
data analytics, pharmacy or medical practice, healthcare technology, health systems research or other potential research partners is an asset. Familiarity and experience with grant funded projects and
-
to undergraduate education through the teaching of microbiology and immunology courses. Additional responsibilities may include developing and coordinating tutorials, as well as integrating data science pedagogy
-
emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and surveillance research
-
in Pharmaceutical Sciences (PhD) Addressing equity considerations in research and care of patients with inflammatory arthritis View All Stories Further Information The Killam Laureates website
-
Chemistry (PhD) Synthesis of bis-cyclometalated pt(II) complexes for targeting supramolecular materials Melanie Mackay Doctor of Philosophy in Mining Engineering (PhD) Critical elements in the coalfields
-
chemical biology in the domain of cancer biology Proficiency in statistical/computational analysis of chemical and functional screen data to be self-sufficient in interpretation Experience with tumor model