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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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Institute of Organic Synthesis (LIOS), the leading drug discovery center in the Baltic countries, is seeking a Data Curator to join the Metabolic Research Group (https://targetwise.osi.lv/ ). The successful
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field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis. - Research experience involving neuroscience
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 26 days ago
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controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
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experience programming in Python or C++. Candidates who are interested in multiple projects within our group need only register their interest once and will be considered for all projects in which they have an
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
for this position. More About This Job Preferred Qualifications: Exceptional Excel skills: financial modeling and forecasting, complex formulas, scenario analysis, automation and data management using VBA and Python
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protocols such as HTTP, SSL, SSH, JMS, JDBC, REST API, etc. Open source technologies such as Dockers, KVM, and Python Version control systems such as GitHub Typical Activities: Build and release management