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) that provides large-scale, integrated and sustainable data services to the social sciences research community to conduct high-quality research and contribute to solutions to major societal challenges. CESSDA has
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infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing
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the end-to-end discovery process, including data preparation, statistical analysis, and methods for extracting meaningful insights from large datasets. Core machine learning techniques such as decision tree
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growth. We are particularly interested in deciphering the role of the large intrinsically disordered loops using structural and biophysical approaches. The project may involve a combination of protein
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of points within a short time, yielding large amounts of data that need to be visualized and analysed instantaneously during a beam time. Additionally, the varied possibilities at the beamline generate
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information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications: Ph.D
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants
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(Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future
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addition to problems in our nation’s health. Key statistical themes in our work include: (a) generalized mixed-effects regression models for the analysis of clustered and longitudinal data; (b) item response theory and