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Field
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required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis - Research experience involving neuroscience methods
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communication skills. Capable of independent, self-directed work as well as working in a collaborative team environment. Strong programming skills (e.g., Python, Shell, Matlab, etc). US citizenship or permanent
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MATLAB, with an increasing emphasis on the first two and on the use of open-source/reusable toolkits. We work with data in a wide range of formats, and the design of scripts/tools to flexibly ingest and
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License: No If yes, what is the preferred licensure/certification?: Preferred Computer Applications: Preferred Other Computer Applications: REDCap, Openspecimen, R, Matlab Preferred Additional Knowledge
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. Programming with Stata and/or R, as well as software such as Matlab or SAS. Preferred Competencies Must be self-directed. Excellent written and verbal communication skills. Excellent organizational skills and
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knowledge of programming (e.g., Python, R, or MATLAB) Experience of working in tropical cities Experience in systematic literature review is desired Interest and/or experience in urban landslide research
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operating system upgrades, compliance checks, and MATLAB installations. Co-coordinates and analyzes and processes data from studies involving human subjects. Organizes and consolidates complex datasets
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, Spatial Transcriptomics or proteomics/mass spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl
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Experience with test and measurement lab automation and scripting experience in relevant environments (e.g. Python, LabVIEW, MATLAB) What We Offer: A supportive team environment with colleagues committed
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characterization (SEM, EDX, etc) Aerosol physics Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary teamwork Fieldwork and particle sampling e.g. on/from vehicles Swedish language skills