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Field
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account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program
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advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning, computational chemistry, or related fields, with
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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, such as Seurat and Scanpy. Experience with machine learning models, such as transformer and diffusion models. Strong written and oral communication skills. Modes of Work Positions that are eligible
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insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution, no match or vesting required Life and Disability Insurance Paid Time Off: 20 days of vacation per
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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focus on space robotics research. Experience with autonomous robotics for space exploration or satellite servicing missions. Experience with machine learning techniques for robotic decision-making and
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for scientific publications, and supervise graduate students. Job Description: Required Qualifications Education: PhD in Neuroscience, Computer Science, Bioengineering, Physiology or related fields. Preferred
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grow over time under the leadership of its Executive Director who will define the Center’s vision, appoint the scholars necessary to fulfill the Center’s statutory mission to “conduct teaching and
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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and