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Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with colleagues and/or external stakeholders. Knowledge
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect: the ability
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the robustness to address national security challenges in cybersecurity. In particular, the postdoc will focus on applying reinforcement learning to discover vulnerabilities and failure modes in software systems
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productivity. Proficiency in statistical software (R, SPSS, or other) is required. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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? No Preferred Education/Experience Experience with qualitative data analysis software (e.g., NVivo, Dedoose, ATLAS.ti) A publication record commensurate with career stage. Familiarity with mixed-methods research
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delivering a wide range of outcomes for the Wellcome-funded international project CYCLONE, including peer-reviewed publications, novel software tools, university seminars, presentations at meetings/workshops
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education. Specifically, the tasks are: Design, implement and validate a tool to collect and analyze learning demands of learners. Design, implement and validate a modular software architecture that can
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mass spectrometers and nano/UHPLC systems Experience with state-of-the-art proteomic workflows, including MS acquisition (e.g. DDA, DIA, PRM) and data analysis with dedicated software tools. Computer
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. Proficiency in data analysis software (e.g., R, Stata, or Python). Interest in comparative politics and political economy, preferably in European wage regulation and climate policy. Fluency in English is
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in computational biology or related area. Demonstrated experience in computational research. Desired: Research interest in environmental microbiology and/or microbial ecology. Strong software skills