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robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models
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on collating and analyzing the large volumes of carbon cycle data gathered from the site to date, then preparing the resulting analyses for publication in scientific journals. Likely topics for papers include
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Zhejiang Province), and Data Science and Big Data Technology. Additionally, there is a dual bachelor's degree program in "Information and Computing Science + Automation." Teaching Resources: The school
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and platinum complexes with long carbon chains. Collect spectroscopic data (NMR, IR, UV/Visible, etc). Collect and interpret crystallographic data, and undertake physical measurements. Participate in
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drive change and effectively communicate change. Detailed oriented and capable of managing large amounts of data, maintain detailed comprehensive records, analyze and organize information, have effective
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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influences within Florida's coastal watersheds. Your work will involve integrating GIS mapping, water quality modeling, and environmental data to assess hydrology and water quality dynamics. This position
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Veronika Fikfak. The Postdoctoral Research Associate will be responsible for data collection from different human rights case law databases, coding (including machine learning) and data analysis. They will
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special emphasis on a relaxed and cooperative working environment. Social interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team
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associate. We are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the United States related to nutrition, infectious diseases, and