43 modal-analysis-artificial-intelligence Postdoctoral positions at Stanford University
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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Leinweber Institute for Theoretical Physics (LITP). Potential research topics include: inflationary cosmology and its connection to late-time observables; large-scale structure theory and analysis; cosmic
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India. The role includes designing quantitative and qualitative data collection tools, leading survey fieldwork in collaboration with in-country partners, conducting rigorous data analysis, and
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of paint (ICP-OES, XRF and colorimetry) and managing the analysis of a representative survey collecting over 10,000 samples of spices, soil and cosmetics in India. The role includes developing and
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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characterize consistency and heterogeneity in mechanisms associated with word reading difficulties (i.e., developmental dyslexia) using a deep phenotyping approach. For example, despite 40 years of controversy
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, quantum materials, quantum optics, quantum dynamics, quantum condensed matter, quantum sensing and most other research specialties that can legitimately be prefixed by the word “quantum.” Eligibility
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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Disorder, and Dementia with Lewy Bodies. The position involves direct human subject interaction and testing, the collection, organization and analysis of electrophysiological and kinematic data, and
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship