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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 | about 2 months 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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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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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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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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to generate data which can be coupled with robust and physics-informed machine learning and reduced-order modelling methods for model predictive control and reinforcement learning. PhD (or soon to be completed
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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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
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to academic leadership. Renowned for his work in Big Data and healthcare innovation, Dr. Madigan has authored over 200 publications covering topics such as Bayesian statistics, text mining, and probabilistic
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, restructuring, and integration of multiple data sources 15% Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions