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Field
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System Models, or related simulation tools. Additional knowledge of statistical methods, Monte Carlo techniques, or ensemble approaches is highly valued. The post is advertised as full-time. We are open to
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optogenetic investigations of cognition-related hippocampal formation and related brain networks. ? Analysis of electrophysiologically-evoked responses to assess synaptic population changes
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projects would be desirable. An understanding of Mendelian randomization and/or causal inference would be advantageous but not essential; full training will be given. In particular, no prior knowledge
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Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and
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their expertise in algebra and representation theory, expand research capacity of Dr. Rupert, facilitate increasing the number of publications and grant success, and provide an opportunity for Dr. Rupert to mentor
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projects would be desirable. An understanding of Mendelian randomization and/or causal inference would be advantageous but not essential; full training will be given. In particular, no prior knowledge
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representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and
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the candidate to be comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental knowledge and an interest in molecular and cell biology is a necessity
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quantum dots. Investigations of principles of qubit operations, noise effects on qubit fidelities, and designs of improved and robust qubits. The topic will require knowledge of semiconductor physics, group
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. Key responsibilities include: Simulating regional air quality using numerical models (e.g., WRF-Chem, CMAQ) Improving wildfire emission estimates and smoke plume rise representation Evaluating model