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techniques developed by our team to investigate the key density statistics across the scales relevant for star formation. These statistics provide unique constraints for current models and theoretical
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assays Drug Discovery Dose-response assays, IC50 Data Analysis Proficiency in statistics and statistical software (GraphPad, R, Python) Candidate Profile Candidates having several of the following
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farm animal welfare and behavior is recommended. Proficient in Microsoft Office packages (PowerPoint and Excel). Proficient in statistical packages SAS® and R software®. Spanish English Researcher in
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Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods
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Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment with state-of-the-art
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Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods of research, testing and data
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. - Performing statistical analyses to correlate SWOT/GDP data - Drafting a manuscript summarizing the results The successful candidate will be based within the LOPS Coastal Oceanography team under the supervision
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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.). Scientific skills include proficiency in tools for studying proteomic and transcriptomic data, as well as the statistical tools required for their interpretation (R and packages). Additional comments Desired
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning