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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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Development and Data Science from around Europe. About the position The role of the postdoc is to disentangle the mechanisms of biological carbon pump and its contributions to the global carbon cycle in
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require major advances in electrolyte composition to achieve safer and more efficient performance. Such advances will be realized through an exploration of properties or mechanisms not exploited in
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genes/gene clusters, and associated immunity/resistance mechanisms. • Use of current methods for microbiome analyses of datasets (e.g., 16S rRNA, and whole metagenomic sequencing
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Yes Description of Work The Smart Materials and Robotics Laboratory (https://smr.unl.edu/ ) in the Department of Mechanical and Materials Engineering (MME) is seeking a postdoctoral research associate
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25FA0694 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD in civil engineering, mechanical engineering, or related engineering fields
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, USPTO, Pistachio). Understanding of organic synthesis and reaction mechanisms. Publication record demonstrating expertise in AI and computational chemistry. Excellent problem-solving skills and the
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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coronary artery stents, and structural heart interventions. CORE FUNCTIONS Some of the main duties include, design, conduct, and analyze solid mechanical simulations and computational fluid dynamics studies
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating