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geophysical data. Contribute to model verification, validation, and comparison with observations. Use high-performance computing resources and modern scientific software practices. Collaborate with
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electrochemical systems and advanced manufacturing, with opportunities to develop broadly applicable methods and software for computational science. You will Conduct research and development in one or
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(“Muse”) to solve and track complex medical business, regulatory, and research administration issues using vendor-hosted compliance software. The analyst formulates/defines system scope and objectives
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publications can be found on his lab website: https://www.zhuhlab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new
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-spectrometric data using statistical and/or machine learning methods. Experience with software development for hardware control, data acquisition, and data analysis in commonly used languages including
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working at UNL : https://go.unl.edu/aboutus Minimum Required Qualifications Bachelor’s degree in business administration, accounting, or related field plus 1 year of relevant experience; additional years of
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may be applicable to the position: Developing, testing, and analyzing research projects using large family-based data sets; Analysis of multiomics data in families; Provides guidance and support to
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but other terrestrial taxa can certainly be considered. Preferred Qualifications Applicant must be a strong writer and quantitatively skilled with experience using GIS tools and statistical software
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Two Postdocs in Programming Languages Reference number REF 2026-0339 Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers
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be found at https://uhr.rutgers.edu/benefits/medical-plans ). Additional support is available for conference travel and professional development. The selected candidate will also be eligible for