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Field
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generally be partitioned among 2-3 days of fieldwork and labwork and 2-3 days of data analysis. Fieldwork at Harvard Forest involves working full days (up to 8 hours) in year-round outdoor conditions. The
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research equipment. Conduct data analysis, statistical evaluation, and summarize experimental results. Maintain a detailed laboratory notebook and write/update protocols. Oversee lab inventory and supply
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measure leg-generated forces. Investigate relationships between neural activity, muscle properties, and joint movement. Code in MATLAB or Python for data analysis, modeling, and tracking tasks. Assist with
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Physics Group at Princeton University.The successful candidate(s) can play a major role in one or more of the following: 1) analysis and publication of Energetic Neutral Atom (ENA) and other observations
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the Decree-Law no. 66/2018. All the formalities established in the Decree-Law must be met until the hiring. Failure to comply with these requirements determines the preliminary rejection of the application
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. Expertise is required in the specific area of Alzheimer's Disease and related dementia, genome-wide association study data processing and analysis, and whole genome/exome sequencing. Applicants must have a
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environmental pathogen detection and who has experience in wastewater analysis. About the position You will be part of the Swedish Environmental Epidemiology Center (SEEC) within the Division of Microbial Ecology
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 15 hours ago
checks to spot errors, and generally preparing data for analysis; assisting with onboarding new staff and maintaining project documentation; and assisting with literature reviews, new and renewal
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. PV field system data analysis (time-series data analysis with JMP software and /or Python). Accelerated ageing procedures (IEC standards). PV module failure modes. Corrosion. Strong communications
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). ----------------- Although it is not essential, experience or knowledge in some of the following areas will be positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools