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to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater
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of Microsoft Office programs or the demonstrated experience to learn such programs. Additional Information: This is a full time (100% FTE), permanent position. This position is overtime eligible/ineligible
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an outstanding track record or strong interest in the fields of antibody design, structural biology, AI/machine learning, or immuno-oncology, we invite you to apply with a project proposal for a position in our
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and best practices in all areas of human resource management including recruitment, retention, employee relations, learning and organizational professional development, compensation, benefits management
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with the implementation new systems effectively . Ability to quickly learn and adapt to new software and tools. Preferred Qualifications: Master’s degree or higher. At least one year of experience with
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, application of machine learning methods to climate science. Climate models of varying complexities and their possible mitigation strategies. Emergence of extreme events in weather and climate. Research
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an excellent scientific track record. Proven expertise in environmental genomics, metagenomics, or large-scale omics data analysis. Experience with machine learning or AI approaches in biological data is an
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arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus
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navigate complex records and legal requirements. You’ll be comfortable using a variety of software tools and eager to learn new systems that support your work. This role offers ongoing training and
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specialising in interdisciplinary topics, for example, candidates specialising in Machine Learning and Data Science, Quantum Computing, Theoretical Computer Science, Financial and Actuarial Mathematics