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Field
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/ Python and various CFD software to develop fuel cells and engine models for powertrains and propulsion systems within the transportation and energy sectors. Skills Demonstrable ability to work
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the PERMANENS Consortium, and will report to the PI, Professor Ella Arensman. The PERMANENS research project aims to develop a prototype of a Clinical Decision Support System (CDSS) software, designed to assist
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. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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for a candidate with a strong interest in research and ideally some previous experience in data analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
to have experience in several of the following areas: data processing, statistical analyses, R software, regression models, process-based models such as DSSAT or APSIM, Bayesian statistical analysis
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Science group addresses this mission through the development of quantum computational methods and software for diverse scientific applications. Major Duties/Responsibilities: Conduct research in
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method based on Skyline software or equivalent is also preferred. If selected for this position, you will immediately be immersed into a dynamic research environment with multiple high-end Orbitrap and
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indices, or pavement management software is also desirable. Required Knowledge, Skills, and/or Abilities Demonstrated ability to communicate effectively across cultural boundaries and work harmoniously with
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the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease
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or programming software (e.g. Stata, SAS, R or Python) Experience of advanced longitudinal modelling, including time-to-event models, mediation analysis and causal inference approaches Excellent communication