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investigators and trainees in experimental techniques and data analysis. Present research findings at national and international conferences and contribute to the preparation of manuscripts for publication in
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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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preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will successfully carry out experiments and analyze the data
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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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neuroscience (e.g., in vivo neurophysiological recordings, behavioral training) or computational data analysis (e.g., spike sorting, neural signal processing) Excellent communication and collaborative skills A
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-FISH Preference is given to candidates with experience in RNA-sequencing, whole exome sequencing, and associated analytical pipelines Growth mindset and ability to adopt new data analysis modalities
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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