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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep
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for its open research pool. Positions are limited duration appointments potentially renewable for up to a total of three years. Potential areas of research include: program development; statistical analyses
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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appointment, with the possibility of renewal for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and the participant's
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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the ability to prioritize work, meet deadlines, and contribute to the planning of a scientific research program. Excellent oral and written communication skills including the ability to organize technical
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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(SmT), spatial mass spectromety and CellScape in animal and plant tissues. In addition, the postdoctoral fellow will also apply single-cell multiomics. The postdoctoral projects will have a computational