114 optimization-nonlinear-functions Fellowship positions at University of British Columbia
Sort by
Refine Your Search
-
, multimodal transportation systems and their components operate, and how to plan systems that are responsive and resilient to extreme events and are adaptive to the growing impacts of climate change
-
facing difficult contexts and challenges. Note that work focused on genomics and/or genetic modification is not eligible. Further Information For complete eligibility criteria and application procedures
-
additional expertise in handling biological materials are especially encouraged to apply. Successful candidates will engage in independent work in collaboration with the Kizhakkedathu Research Group and the
-
Location: Ottawa, Ontario Value: $55,567 (part-time Postdoctoral Fellowship) For further information on the organization, please visit Global Affairs Canada For further information on the program, please
-
various researchers, clinicians and imaging experts from UBC, BCCRI, and our international institutional and industry partners. The fellow will work within our multidisciplinary team (medical physicists
-
on advancing vaccine candidates through preclinical development. The project is part of a collaborative research initiative funded through the MITACS program and offers the fellow the chance to work closely with
-
lots of creativity. Find yourself in new areas of inquiry that urgently require attention if we are to transform the quality of care in these hospitals. To be successful in this role, the candidate will
-
pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments
-
computing and/or high-performance computing (HPC) environments for bioinformatics workflows. The successful candidate must exhibit excellent communication skills; a demonstrated potential for excellence in
-
with whole-genome or exome sequencing pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance