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. Computer skills in MS Office, accounting software and databases. Ability to choose the right mathematical method or formula to solve a problem. Ability to collect and organize accounting data, interpret
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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knowledge of research methods applicable to education, training, workforce development, or related contexts. Evidence of scholarly writing and dissemination potential, including peer-reviewed publications
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) Computer user skills (mandatory) Excellent command of English (mandatory) Ability to work in a team (mandatory) Professional skills: Development of ab initio methods (optional) Methodological skills: Python
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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» ERC StG project of Prof. Gergely Neu along the following lines: Develop a framework for analyzing instrumental-variable regression methods such as two-stage regression estimators or saddle-point
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have pioneered the generation from human pluripotent stem cells of brain region-specific organoids (Nature Methods 2015; Neuron 2017; Nature Methods 2019; Nature Neuroscience 2019) and assembloids
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selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a general method to quantify
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Mar-26 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 183453 The Human-Computer