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implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may
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measurements. Design computational workflows that transform experimental data into AI-ready descriptors suitable for integration within the ISAAC data infrastructure. Collaborate with beamline scientists and
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 month ago
Zone Description DOE Scholars Program Overview The DOE Scholars Program at the U.S. Department of Energy Office of Policy (OP) offers paid opportunities for high school students, undergraduate students
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ability/proficiency/excellence computer software, equipment operation, or research technical skills. Desired Qualifications: Experience in research with flow cytometry, animal models, cloning and expression
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/computational topology or algebra for biological systems and assist in organising activities relevant to this group. They will write up their results for publication, present papers at conferences and contribute
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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Location: Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme developing anatomy driven artificial
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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are seeking to appoint a Postdoctoral Researcher in Computational Materials Modelling to join the Multiscale Materials Modelling Group in the Department of Chemistry. The position is funded under a Research