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About us King’s College London is an internationally renowned university delivering exceptional education and world-leading research. The University is dedicated to driving positive and sustainable
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 20 hours ago
conceived or first reduced to practice during their fellowship; The fact that research materials and laboratory notebooks are the property of the FDA; ORISE fellow’s obligation to protect and not to further
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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---- FLSA Status: Exempt from FLSA ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Aug 31, 2027 ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: General Notes
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or biologically. The Fellow will also have opportunities to work on projects related to natural organic matter in the environment, depending on their research interests. Liu Lab houses a suite of advanced
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from FLSA ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Sep 11, 2027 ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: Purpose UT Micropaleo Lab is
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of simulation-ready models. Experience with FEM/FDTD spatial discretization, geometry or voxel-model preparation, material-property assignment, and mesh/grid-quality assessment. Experience with Sim4Life, COMSOL
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to analyze large experimental and clinical datasets, as well as simulate brain molecules, cells, and circuits, to deepen our understanding of brain function. These efforts aim to accelerate the discovery
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years in simulation, fabrication, and testing of semiconductor devices. 4. Proficient in simulation software, such as Sentaurus, Spice, matlab, FDTD, etc. 5. Possess relevant expertise proven
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food, food contact materials, and agricultural samples. Throughout the course of this research project, you will gain experience in developing machine learning tools for the identification and analysis