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Field
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. Experience in winter biological sampling at ice-covered lakes is highly meritorious. Strong skills in statistical analysis, experience in scientific publication, and fluency in written and oral Swedish
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optimisation of analytical methods for VOC characterization. Chemical analysis of air and rainwater samples using advanced instrumentation. Data processing, statistical analysis and interpretation of large
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workflows, accountability and professional development. Resource Stewardship. Oversee equitable, mission-aligned allocation of research funds, personnel, protected time and statistical and data support
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-covered lakes is highly meritorious. Strong skills in statistical analysis, experience in scientific publication, and fluency in written and oral Swedish are merits. Advantageous attributes include a
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
to any upload field): cover letter with a brief description of experience as an RA and any independent research; description of familiarity with statistical and computer packages; names of two references
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, or Su Shin, Co-Evaluator, at [email protected] Responsibilities The Research Associate will work closely with the principal investigators and will be responsible for: Conducting statistical analyses
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(fluid dynamics) is highly beneficial Experience with statistical analysis, coding (R or Python), and digital modelling strongly preferred Willingness to travel (minimum to UK for experimental work
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
include (in one PDF uploaded to any upload field): cover letter with a brief description of experience as an RA and any independent research; description of familiarity with statistical and computer
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, and instrumental analyses; Conducting large dataset processing and statistical analyses; Communicating with local researchers, water authorities, and stakeholders; Presenting work at national and
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degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or