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responsibilities: To understand and convey material of a specialist or highly technical nature to the team or group of people through presentations and discussions that leads to the presentation of research papers
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of materials for battery applications. Experience with X-ray and or neutron scattering techniques for material characterization. This role offers the opportunity to work in a highly collaborative and
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. The research plan will be defined by the postdoctoral fellow together with the SciFood research group and food industry partners. The work may involve increased resource utilisation, reducing raw material and
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, with a focus on crack initiation, propagation, and damage evolution. These structures are characterised by large wall thicknesses, irregular bond patterns, varying material quality, and exposure
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
implementing the proposed approach in applied settings, and present findings at conferences. The postdoctoral research associate will attend and prepare material for discussion at weekly team meetings and
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Join us at the Laboratory of Electronics Material and Systems, Department of Microtechnology and Nanoscience, and contribute to research on novel solutions for cooling of advanced electronics. About
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of vibroseismic data from the interior of Greenland with a focus on water and sediment thicknesses. Construction of conceptual and numerical models describing sediment material properties, sediment and water
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 months ago
interest in developing new technologies for real-world applications Good experimental skills in optical lab or cleanroom A master/PhD degree in physics/chemistry/material science Experience with numerical
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for candidates who have completed their PhD no more than three years before the application deadline. The position is based in the discipline of Sociology, within the Department of Social and Psychological Studies
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simulations and experiments across scientific user facilities, leveraging data to understand complex material phenomena across scales. Key Responsibilities Design, implement, and validate physics-informed AI/ML