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of neural activity with control of defined circuit elements and utilizing imaging, optogenetics, anatomy, high-density freely moving neurophysiology, behavior, and computation. Ideal candidates will have a
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under the direction of Dr. Abhijit Mahalanobis at the University of Arizona. His group is actively conducting research in AI/ML methods for small object detection, discrimination and classification as
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analytical instrumentation including, for example, mass spectrometry-based volatile emissions, microbiology techniques as well as plant physiology. Experience with methods in microbiology, volatile organic
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techniques, validation methods. Ability to analyze time series data including, Frequency domain decomposition (FFT), Wavelets, Forecasting techniques, Latent class modeling, Visualization and exploratory
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metabolomic studies. Complete the assigned work in time. Complete complex research projects at different stages (advanced through nearly completed). Formulate, troubleshoot and optimize research methods and
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research methods and develop research criteria. Foster collaborations within the Department and with other units across the University. Maintain accurate and detailed records of all laboratory work and
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conduct complex research projects. Formulate research methods and develop research criteria. Foster collaborations within the Department and with other units across the University. Maintain accurate and
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nuclear systems and neutrino dynamics. Qutrit-based and hybrid quantum-classical approaches for many-body simulations. Tensor network and entanglement-based methods in many-body physics. Knowledge, Skills
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. Develop, design, and conduct complex research projects. Formulate research methods and develop research criteria. Maintain accurate and detailed records of all laboratory work and experiments. Foster
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, Nursing, Health Promotion, or related field. Research experience and background in cancer research, epidemiological methods, and statistical analysis. Must have first authored peer-reviewed original