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working with mammalian cultured cells Demonstrated proficiency in microscopy techniques and data analysis Background and experience in molecular biology Experience in mouse or other small rodent handling
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an open-source programming language, including spatial data processing, quality checks and visualizations. Supporting the principal investigator in supervising PhD students. Collaborating with other
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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. Ke can be found at https://sites.google.com/view/kejintao . Requirements Candidates should possess a Ph.D. degree in Transportation Engineering, Civil Engineering, Computer Science, Data Science
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GENERAL PURPOSE AND SCOPE OF THE POSITION: The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data analysis and data governance within a fast-paced
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science and experience with genomic data analysis, along with enthusiasm for working in a mid-size academic team. The selected candidate will develop and/or maintain software and web services genomic and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, identify potential biomarkers, evaluate therapeutic effectiveness, and guide future research and clinical development efforts. The Bioinformatics Analyst develops and maintains data analysis workflows and
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Environmental Engineering (CEE). For more information, please visit: https://earthobservatory.sg , https://ntu.edu.sg/ase , and https://ntu.edu.sg/cee . We are looking to fill a total of 4 Research Associate
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 13 hours ago
biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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or significant variances, investigate underlying causes, and communicate findings and recommendations to practice leadership. Provide timely financial information and analysis to support operational and strategic