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Field
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office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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collaborative environment. Microsoft office software skills. Preferred qualifications: Master’s preparation in Statistics with statistical consulting or another related field with strong analytical skills
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adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software
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software development, and has leading roles in the ATLAS High Luminosity Large-Hadron Collider (HL-LHC) upgrade (Silicon Strip detector, Liquid Argon calorimeter, and Trigger & Data Acquisition). The group
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software used with plotting and analyzing data. Preferred Qualifications – Experience, Education, Knowledge & Skills Experience with cultivation of and physiological measurements involving bacterial cells
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vulnerability discovery and analysis, system building, and program analysis. Candidates should have a strong publication record in relevant conferences, such as those in software engineering, security
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
oceanographers, mathematicians, and software engineers to develop, validate, and use the ocean component of the new climate model, which leverages the Julia programming language to make it flexible, easy to use
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of health. Approximately 80% of the postdoctoral fellow’s time will be devoted to theoretical derivations, simulation studies, implementation of methods in open-source software, preparing manuscripts, and
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of these methods to generate novel biological insights at molecular, cellular, organismal, and population scales. Distill these methods into user-friendly software packages. Disseminate findings through peer