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in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics in a world-class research environment
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and recovery assessment. The effort integrates multi-sensor remote sensing, environmental covariates, and scalable data science workflows. Primary responsibilities are Pre-Fire Burnable Material
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Description General Notes This is for an in-person position at the J.J. Pickle Research Campus in North Austin. Applicants must complete the UT employment application and submit addtional materials
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of the synthesized nanomaterials using thin insulating layers. Requirements The position is open to candidates with a Master degree in Chemistry, Material Science or Material Nano-engineering. Experience in ultra-high
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modelling, and FGF printing and skills in using ML in analysis and design of FGF printed auxetic structures. Suitable candidates should have a Ph.D. in Polymer Materials Science, experience with electron
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Research Assistant Professor - Robertson Lab Mechanical Engineering and Materials Science - Pennsylvania-Pittsburgh - (25004707) Responsibilities: We are seeking to hire a Research Assistant
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of Engineering. For more details, see: Aalto Doctoral Programme in Engineering What we offer We are pleased to offer the candidate an inspiring interdisciplinary research atmosphere, where collaboration between
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 7 days ago
-)supervision of Ph.D., master and bachelor students Your profile # Ph.D. in chemistry, electrochemistry, radiochemistry, physics, materials science, or a related discipline # Strong expertise in electrochemistry
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Engineering, Materials and Processes, Department of Mechanical Engineering of Faculty of Sciences and Technology, University of Coimbra. This international tender shall be conducted pursuant to paragraph 1
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Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling