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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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of postdoctoral associates, PhD students, and several Master’s or undergraduate students across multiple universities and organizations. The research team will work alongside the engineering team to investigate
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a strong research enterprise with annual grant expenditures exceeding $3.2MM. For more information regarding the Karen M. Swindler CBE Department, visit http://www.sdsmt.edu/CBE. South Dakota Mines is
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geriatric care in the Strukturwandelregion (former coal-mining region) of Saxony-Anhalt. The successful candidate will observe, follow, and engage various stakeholders (tech companies, care workers, local
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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 17 days ago
transformations in health and geriatric care in the Strukturwandelregion (former coal-mining region) of Saxony-Anhalt. The successful candidate will observe, follow, and engage various stakeholders (tech companies
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AI to predict safety outcomes for multiple targets and combination therapies Collaborate with research teams and data scientists to design data-driven strategies using machine learning/AI methods
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particularly welcome proposals that look to data-mine multiple language sources as a core to the research method. The successful candidate will have academic experience in applying digital methodologies
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of focus are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot
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upon genetic results. Techniques used: you will be trained in a large variety of techniques including epidemiology, statistical genetics, in silico data mining, cell culture including CRISPR-based genome