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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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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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data from major facilities, including NASA’s Kepler, TESS, and JWST missions; ESA’s Gaia mission; and large-scale spectroscopic surveys such as LAMOST. Experience working with large, complex datasets is
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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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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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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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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
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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 22 hours ago
to the last mile of maritime container Supply Chain Management. The goal of the project is to develop methodologies and approaches for collecting, structuring, and processing large volumes of data generated in