23 Physics "Lawrence Livermore National Laboratory" PhD positions at Forschungszentrum Jülich
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describing experimental results Correlating material parameters with process conditions of sample preparation Deriving insights for film and device fabrication based on the above described workflow Your
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interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine learning results with simulation methods Working on project-related tasks where you can
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/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong electronics background, with experience in design and simulation of analog, digital
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. Additionally, enjoyment of teamwork is an important requirement. Masters degree in electrical/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong
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, or a related field of study Knowledge of energy process engineering is an advantage Huge interest in energy technology and economics Experience in energy system modeling is beneficial First programming
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of an innovative shim insert necessitates a blend of robust engineering skills and advanced simulation methodologies spanning various physical domains. To meet this challenge, ZEA-1 and INM-4 will integrate
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visit to France. Your tasks will mainly include the: Use of state-of-the-art synthesis processes for the production of graphene oxide-based active materials Optimization of the process to achieve
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) in chemistry, materials science, geoscience, physics or related field Experience in laboratory work, e.g. synthesis and/or physicochemical characterization such as IR, CHN, PXRD High motivation
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reaction phenomena in nanoporous electrocatalytic materials Collaboration with partner groups in a German–Canadian research project Your Profile: M.Sc. degree in physics, physical chemistry, chemical
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the: Use of state-of-the-art, industrially established (continuous) synthesis for the production of Na-based cathode active materials Optimization of the process to achieve the highest possible yield and