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aligns with overall research objective Supervise and mentor junior lab members, including graduate and undergraduate students in bioinformatics analysis and sequencing data interpretation Key Competencies
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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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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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candidate’s application include: experience with whole-genome or exome sequencing pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud
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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
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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shall align with one or more of the following areas: Beyond 5G Wireless Communication Systems Non-Terrestrial Communication Systems Intelligent Open Radio Access Networks Dynamic Spectrum Sharing Access
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members of the research group. Assist with mentoring/supervision of graduate students and Honours students. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all health and
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP