347 computational-material-science-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral positions
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United States at the time the appointment is scheduled to begin and to continue working legally for the proposed term of the appointment Able to handle multiple tasks or projects simultaneously to meet assigned
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
to be involved in experiments in the Sheikh lab. Minimum Education and Experience Requirements PhD in Computational Biology, Bioinformatics, or a related field. Required Qualifications, Competencies, and
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate, Multiple Vacancies Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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Experience Ph.D. in Chemistry or a related field and knowledge of quantum chemistry and quantum physics to develop two-dimensional superconducting single-photon detectors. Other Qualifications To the extent
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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other related field. Program proficiency in computer programs such as Abaqus, SolidWorks, MatLab, Mathematica, and Python. Knowledge of fibers, yarn and textiles, and textile fabrication processes. Strong