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of inverse photonic design, machine-learning (adjoint or topology optimization), or other advancing design methodologies. Ability to design and model active photonic devices (MEMS, electro-optic or thermo
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specific additional expertise in data science/machine learning documented by doctoral work, publications, and grants. The candidate will have publications and demonstrated capability to compete for grants in
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analysis, machine-learning workflows, and graph-based analysis of chemical or biological data, are expected. The researcher will work in an interdisciplinary environment connecting graph algorithms, physical
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About the Opportunity The Adjunct Faculty will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case
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The Pluskal lab at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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. The selected candidate will be nominated for a Tier I Canada Research Chair (CRC) (website ). The CRC is tenable for seven years and renewable once. The human brain is a hyper-efficient computer, capable of
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analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
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, and industry workforce trends, with a particular emphasis on next-generation and AI-integrated curriculum design Familiarity with the application of AI tools — including machine learning, simulation
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developing or implementing artificial intelligence and machine learning algorithms for assay interpretation and sign-out are especially encouraged to apply. Please apply online , with a CV. The posted UC