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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
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23 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Electrical engineering Engineering » Computer
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to develop a method for detecting, locating, and estimating the severity of a defect based on residuals in the time domain. The objective of the proposed thesis is to continue the work begun in the theses
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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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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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. 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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Qualifications: M.S. (or equivalent professional degree) in physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day 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 | 1 day 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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knowledge of research methods applicable to education, training, workforce development, or related contexts. Evidence of scholarly writing and dissemination potential, including peer-reviewed publications