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students from a variety of backgrounds and levels of experience. ·Capability to work effectively on technical problems in a fast-paced, demanding, and oftentimes, deadline driven environment. ·Good
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working interactively and productively in a multidisciplinary environment. Skills in oral and written communication. Record of publication and external recognition in these areas. Ability to work
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reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be
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properties of materials. The candidate is expected to think and work independently and conduct research in a highly interdisciplinary environment, where interaction with experimentalists is also encouraged
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Materials Science, Chemistry, Chemical Engineering, or Electrochemistry with 0 to 3 years of experience or equivalent Considerable hands-on experience in a laboratory environment Considerable skill in
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regulations and contract. Preferred Qualifications: Experience with modeling and analysis of material supply chains. The candidate will receive a supportive and enabling environment to develop research projects
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primarily involve hands-on laboratory work on material synthesis as well as process Research and Development in a laboratory environment. Characterization and use-testing of new materials will also be
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estimates critical to materials design. In this role you can expect to: Work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National
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publications and presentations. Position Requirements Ph.D. in chemical engineering, environmental engineering, or bioengineering science with 0 to 2 years of experience, or the equivalent experience through
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independently ICP-MS, GC-MS, and/or LC-MS instrumentation. Hands-on experience in performing experiments inside controlled environments (glovebox) is highly welcomed. The applicant is expected to think and work