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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
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, Ansible, PowerShell, Python, etc. Preferred Qualifications: ● Familiarity working in an Agile and/or DevOps/DevSecOps environment. ● Familiarity working with version control systems (Git, SVN, Azure DevOps
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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addition to genetics, we seek candidates who can teach (1) introductory courses in data science using R or Python or a general biostatistics course, and (2) 200 or 300-level courses in their area of expertise. Ideally
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guidance to support staff and/or student employees. Must be proficient in the use of python, JavaScript, CSS, and HTML; PostgreSQL, MySQL, and SQL oracle; Linux Red Hat and Ubuntu ****The final salary
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Engineering (ISE) maintains an internationally recognized research program. Please visit us at: https://ise.washington.edu/ to learn more. The Department of Industrial & Systems Engineering has
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the guidance of PWBM team leader and PWBM’s Faculty Director, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim