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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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or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning frameworks. Should be comfortable working with machine learning
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 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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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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qualifications: ⢠Experience with research methods in developmental science ⢠Experience with R, Python, or related programming languages ⢠Conversational proficiency in both Spanish and English Princeton
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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in transcriptomics, epigenomics, and/or genomics Strong analytical skills, as well as broad experience with scripting languages (e.g., Python, R, Bash); knowledge of common bioinformatics software and
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via Ethernet as well as data processing and data synchronization within linked systems. Know-how in EMC-compliant assembly of electrical systems would be a plus. Programming skills with Python and C/C