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Computer Engineering or a closely related field from an internationally accredited university. Have proficiency in programming using Python, C, and/or Java. Ability to work in a diverse, interdisciplinary
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or Python. Proven publication and report writing skills. Knowledge of data handling or management. Sea-going experience. ADDITIONAL INFORMATION For more information concerning this vacancy, please contact Jan
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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developing in Python and/or Scala, particularly for data pipeline creation and automation. Hands-on experience with cloud environments (AWS, Azure, or GCP) and associated data services. Experience with big
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the laboratory (Max Delbruck Centrum Berlin, https://www.mdc-berlin.de/ohler ) and from cooperation partners presentation of research results at internal and external meetings and conferences and publication in
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website: https://medschool.cuanschutz.edu/accords. The successful candidate will assist with study and instrument design and data coordination, conduct data cleaning and analysis of primary and/or secondary
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Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
Health Workforce Research Center, and Behavioral Health Workforce Research Center. The Data Analyst will * Perform data cleaning and statistical analysis using SAS, Stata, R, Python, and SQL. * Perform
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Python programming is desirable. The candidate will be based in the laboratory space in the School of Pharmacy, UCC, working with Professor Abina Crean and Dr. Sonja Vucen. Within our group we strive
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economics, market design, and policy-relevant research. Experience with numerical, computational, or simulation-based methods (e.g. Matlab, Python, R, or similar); experience with statistical software is an