384 machine-learning "Faculty of Earth Sciences, Geography and Astronomy" positions at Pfizer
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leverage your Machine Learning (ML) expertise to expand our effort in ML predictions and their translational application to rational vaccine design. You will be instrumental in leading the development
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across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data
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academic/industrial setting. Strong communication and computer/technical skills. Nice-to-Have Knowledge of Laboratory Information Management Systems Experience with robotic liquid handling PHYSICAL/MENTAL
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policies) and individual development plans, participate in cross-disciplinary forums & learning opportunities. Demonstrate and model adherence to all Pfizer behaviors & values, embrace and comply with Global
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Laboratory experience in a relevant field of science Strong attention to detail and ability to collaborate and work in team environment Good Computer skills including word processing, Excel, PowerPoint and
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effective means of communication. Clear and effective written and verbal communication skills. Systems and Document compilation skills, including: Must have excellent computer skills and be proficient with
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across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data
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and interpreting piping and instrumentation diagrams (P&ID), electrical and mechanical drawings (M&E), and computer aided design files (CAD). Experience working in various business enterprise systems
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, Engineering, and Math). Mechanical aptitude. Experience working in a GxP setting. Experience working in various business enterprise systems and learning new software packages. An understanding of system and
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Job Summary: The Senior Scientist Computational Biologist will be a key member of the Machine Learning and Computational Sciences Team, focusing on the analysis and interpretation of complex