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; Ability to develop system requirements for technology implementations; and Knowledge of scripting languages such as Python, SQL, Powershell, JavaScript, XML, HTML, etc. Instructions to Applicants: For full
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
Qualifications: Exceptional Excel skills: financial modeling and forecasting, complex formulas, scenario analysis, automation and data management using VBA and Python. Five to seven years of relevant experience
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the areas of job performance, professional development/research support and service. Standards are outlined in the IUI Promotion & Tenure Guidelines: https://academicaffairs.indianapolis.iu.edu/Faculty
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dissemination through scientific conferences (oral presentations/posters), peer-reviewed journals and outreach. Where to apply Website https://calls.bcbl.eu Requirements Research FieldTechnology
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databases (potentially using Python for scripting or CMS integration); gathering and documenting user requirements through user research and analytics; leveraging tools like Google Analytics 4, Siteimprove
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Engineering, or a related field Strong programming skills in Python and SQL; experience with C/C++ Experience in data modelling and dimensional modelling Experience with CI/CD workflows for data and software
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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in
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in the 2025 QS World University Rankings by Subjects. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to advance cutting-edge research in the security
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO
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) Proficiency with SQL and its variants (e.g., PL/SQL, T-SQL, etc.) Proficiency in programming/scripting languages (e.g., Python, Java, PowerShell, etc.) Proficiency in data engineering technologies and tools