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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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, both spoken and written. You are familiar with common MS Office applications (Word, Excel, PowerPoint). Experience with data analysis in R and/or Python is a plus. You hold a FELASA certificate (animal
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 10 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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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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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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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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- Conocimientos de diseño CAD (FUSION360) - Conocimientos de Python - Conocimientos sobre uso y entrenamiento de redes neuronales Specific Requirements - Bachiller - Experiencia en uso de entornos UNIX
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; Proficiency in relevant tools, e.g., SPSS, R, Python, NVivo; Excellent written and verbal communication skills; Ability to work independently and meet deadlines; and Highly responsible and attentive to details
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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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, mathematical, and financial modeling skills to research tasks and analytical deliverables. Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets. Prepare and deliver