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subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as
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simulations and large-scale DFT calculations at finite temperature using the Special Displacement Method (SDM) and its anharmonic extension (ASDM). Model polymorphous structures beyond the standard monomorphous
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of the projects from request initiation through final endpoint (e.g. publication, grant, implementation, etc.) and 25% of his/her/their time improving processes and workflows to optimize the CRI’s ADAMS Center as
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increased independence and less supervision, with an emphasis on optimizing trial processes and ensuring adherence to regulatory standards. This is a full-time, 40-hour per week position. As a hybrid role
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reviews and standards. Lead the research and evaluation of new technology, products, specialized hardware and tools to optimize development and functionality of applications. Ensure team members complete
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in porous media. The researcher will contribute to the implementation of new physics (such as transport, reactions, and thermo-mechanical couplings), computational performance optimizations
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are linked to vascular co-option, abnormal angiogenesis, and a strongly immunosuppressive tumour microenvironment, enabling tumour cells to spread along vascular structures. This often results in residual
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, engaging them in the accountability of care, and improving patient experiences and outcomes. Addresses the medical, nursing and or personal care needs of the patient to enable their return to an optimal
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using an ethical framework that is nonjudgmental and nondiscriminatory. Acts as a liaison between the patients, families, and caregivers and the providers to optimize outcomes. Advocates for patients
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning