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Appointment Start Date: ASAP How to Submit Application Materials: Please email applications to Dr. Max Diehn ([email protected](link sends e-mail) ). Does this position pay above the required minimum
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and
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PET resins and develop simple models through conventional statistical analysis methods to be able to screen PCR PET resin material to enable its use in industrial packaging applications. In
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field in hand by May 2026. Preferred Qualifications: Experience in Thermal Spray Materials/Processes/Characterization/Modeling. Experience in Solid Mechanics/Thermomechanics/Finite Element Analysis
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to design and operate catalytic and/or electrocatalytic reactors Ability to synthesize and characterize materials Ability to model and analyze process performance Proficiency in Python or an equivalent
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Position Title: Postdoctoral Research Associate – Crop Systems Modeling and Data Analytics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department
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Argonne National Laboratory in the Applied Materials Division (AMD) at is seeking a Postdoctoral candidate in the area of organic chemistry and electrochemistry with focus on battery electrolyte
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equipped with a range of sample environments, including a Langmuir trough and a reactor for chemical vapour deposition (CVD) growth of 2D materials on liquid metal catalysts (LMCat). Current in-house
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to