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projects in reproductive genetics, implemented at the Chair of Human Genetics under the supervision of the responsible PI. Tasks involve large-scale genetic and genomic data anlaysis and participation in
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large team of scientists interested in the foundational issues of Artificial Intelligence and Deep Learning. For further information about Mathematical Sciences at the University of Southampton please see
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 7 days ago
research, encompassing large observing programs in planet and star formation as well as exoplanet search, instrumentation development, theoretical modeling, and laboratory astrophysics. A number of exciting
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responsibilities will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer-reviewed journal articles and
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projects, including large-scale surveys, intervention trials, and qualitative studies. Manage project administrations and logistics, including data management and adherence of IRB procedures. Disseminate
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the management of large datasets (in the excess of 21,000 data points) and advanced data analyses, including Hierarchical Linear Modelling and Growth Modelling. Additional responsibilities include providing drafts
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, MATLAB and R • Experience in spatial analysis • Experience in using large-scale data sets • Have strong publication records • Excellent scientific writing and communication skills More
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology, cognitive neuroscience, and
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with