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Field
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position in computational biology combines the development of novel computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost
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Machine Learning Systems at MSU. We are seeking candidates in any area of research related to developing AI techniques, tools, scientific theories, as well as design and policy recommendations
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Machine Learning Systems at MSU. We are seeking candidates in any area of research related to developing AI techniques, tools, scientific theories, as well as design and policy recommendations
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost to the field of platelet biology and haemostasis. The postholder will
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candidate to help develop these new manners by which to promote bonds as kernels in the interpretation of chemical simulations. For this purpose, novel theory and simulation software will need to be developed
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representations and networks. Essential Duties: Research topics include episodic memory representations and networks and the interactions between episodic memory and attention/control processes. Some studies
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at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show
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of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while
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of Medicaid, Medicare, and private insurance data and the application of social science theory and advanced statistical techniques in large data sets. Statement Posting Details Special Instructions