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experience with programming languages such as Julia, Python, and Fortran. According to EU mobility requirements, candidates must not have resided or carried out their main activity in Spain for more than 12
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days 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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. Further develop of Matlab and Python codes for medical image analysis. Perform advanced statistical analysis using RStudio. Where to apply Website https://jobs.vhir.org/jobs/7291134-predoctoral-researcher
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, and expand in-house modeling libraries, codes, and computational tools, particularly within Modelica/OpenModelica and associated Python-based environments. Conduct parametric analyses, sensitivity
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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Tableau cloud for scenario building and forecasting. Assist with staff usage of Tableau features. Support user adoption of Salesforce. Utilize Python scripting to solve various tasks accurately and
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization