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Bison Integrated Genomics and Assisted Reproductive Technologies for Germplasm Biobanking (BIG ART) Primary Purpose: Bison are an integral part of the ecology of Canadian national parks. Parks
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been recent rise in vision foundation models such as GPT-4o, Instruct-BLIP and LLava. However, training foundation models has significant environmental costs tied to large scale datasets as highlighted
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interests that span acute hemodynamic management, biomarkers for injury severity, and large animal modelling. Both the West and Kwon labs offer a highly-collaborative training environment for emerging
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interests that span acute hemodynamic management, biomarkers for injury severity, and large animal modelling. Both the West and Kwon labs offer a highly-collaborative training environment for emerging
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 4 hours ago
, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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alterations in gynecologic cancers. We have amassed whole genome and whole transcriptome sequencing data sets for a variety of gynecologic malignancies (endometrial, ovarian, vulvar, cervical, and some rare
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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 that would strengthen a
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. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience
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evaluation. We are looking for an individual with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and