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Field
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software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. This is a core job profile
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to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
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. many Tb) Knowledge of MC generators and detector simulations Strong software skills in e.g. c++ and python for scientific computing Desired Qualifications: Interest in global hyperon polarization
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group investigates the mathematical foundations of programming and automated reasoning about software. Our research spans programming languages and type systems, program analysis and verification, logic
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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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software, and scientific manuscript preparation. Familiarity with neurological rehabilitation, spinal cord injury research, and neuromodulation techniques is desirable. Willingness to interact with research
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, or biostatistics. Computational skills, including experience with bioinformatic tools and packages, are needed. Experience with data mining, especially for ‘omics’ datasets, or developing pipelines/software
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to protect against various classes of attacks. This means that the group does heavy technical work from analyzing and prototyping to analyzing low-level software and hardware for security. Examples of our
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journals. Communication Skills: Excellent written and verbal communication skills are essential. High analytic skills. High ability to program with mathematics software to test mathematics theories
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
, social scientists, statisticians and software engineers to develop and apply flexible, modular, multi-sector, cross-scale human-climate-impacts modeling framework to advance understanding of multi-sector