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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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characterization (SEM, EDS, TEM), and analytical methods (IC, ICP etc.) Applicants should have an excellent academic record and thrive in collaborative multidisciplinary research environment. The candidate should
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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration with
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engineering. Personal qualities Strong ability to follow through on tasks and projects Motivation for the academic and research field Ability to work both collaboratively and independently Strong analytical
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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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contribute to both experimental and analytical workstreams by working closely with various research teams to deliver project aims. In this role, you will also support research operations including grant
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leading clinicians and researchers tackling real‑world challenges in critical care, data innovation, AI and advanced analytics. We are seeking a talented Data Scientist / Clinical Data Engineer
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. Expertise is required or highly desired in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired
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of Research ExperienceNone Additional Information Eligibility criteria - Mass spectrometry; - Optics and lasers; - Physical and analytical chemistry; - Statistical analysis tools; - English language: C1 (Common