34 materials-engineering-post-doc Postdoctoral positions at Oak Ridge National Laboratory
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. Basic Qualifications: PhD in Chemistry, Materials Science & Engineering, Chemical Engineering, Polymer Science and Engineering, or a related discipline completed within the last five years and have a
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Requisition Id 16930 Overview: We are seeking a Postdoctoral Research Associate to advance the scientific validation of quantum simulations for quantum materials. This work directly supports the
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science and engineering, physics, chemistry, electrical engineering, or a
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engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years. A strong background in mechanical behavior of materials is required. Experience in the development and
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success. Basic Qualifications: A PhD in mechanical engineering, manufacturing engineering, industrial engineering, materials science and engineering, mechatronics, electrical engineering, controls
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Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of our research team, you will closely collaborate with a
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal
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. The candidate will collaborate with multidisciplinary researchers in robotics, surveying, remote sensing, and artificial intelligence. This on-site position resides in the Building Envelope Materials Research
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. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale