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Field
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The successful candidate should possess the following: • A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields • Highly motivated, committed, and capable
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· Lead the design and implementation of mixture-of-experts neural architectures and reinforcement learning pipelines for counterfactual disease trajectory simulation for EMED, an NIH-funded multi-modal AI
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to waves and currents • Simulate turbulence-driven mixing, oxygen distribution, and nutrient/waste transport in aquaculture environments • Conduct field measurements in coastal fish farms using
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims
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professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Interpreting data from experiments Designing simulation configurations
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experiences, and publication list One educational or professional recommendation. Your application will be considered incomplete, and will not be reviewed until one recommendation is submitted. A copy of an
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experiences, and publication list One educational or professional recommendation. Your application will be considered incomplete, and will not be reviewed until one recommendation is submitted. A copy of an
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | about 14 hours ago
-linear optics, atoms and molecules in strong fields, atomic and molecular astrophysics, quantum information and quantum simulations, molecular astrophysics and laboratory cosmology. Applicants should state
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, including limit of detection, selectivity, specificity, reproducibility, time-to-detection and false-positive behaviour. Translate optimised reactions from synthetic targets to urine-derived DNA. Collaborate