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deficits, such as those caused by glaucoma. You will make use of experimental and theoretical techniques, such as sensorimotor analysis and Bayesian statistical modeling, to create diagnostic and screening
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Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Fluency in R for statistical analysis. Experience with ecological fieldwork. Experience with stakeholder
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Are you a highly motivated student with a strong interest in statistical mechanics and soft active matter? The group of Dr. Sara Jabbari Farouji at the Institute of Theoretical Physics and part of
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to staff position within a Research Infrastructure? No Offer Description Are you a highly motivated student with a strong interest in statistical mechanics and soft active matter? The group of Dr. Sara
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the data. Our group aims to overcome these hurdles to extract meaningful insights from videos of cells. We do this by integrating data science, statistics, and AI with (bio)physics-based simulation models
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responsibilities Applying state-of-the-art statistics to existing and to-be-collected data (i.e., from the Healthy Brain Study and clinical study) and reporting findings in scientific papers. To-be used data
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such as holidays, and time spent as part of a procedure for obtaining refugee status are not taken into account. Knowledge, Skills & Experience (desirable): fluency in R for statistical analysis; experience
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Explore and develop scalable machine learning methods for aerospace structures' design and manufacturing This postdoctoral research aims at exploring statistical methods that enable the data-driven
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foundation of statistical machine learning, with applications to satellite-based imageries. Candidates are required to have a strong background in mathematical statistics, signal processing, and physics
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expertise of statistical signal processing, data science, electromagnetic theory and measurement techniques, and a solid background in some of these area is required. Proficiency in using scientific and