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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
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optimization under uncertainty Information design, preference elicitation, and social choice Applied optimization and fast computation Demonstrates excellent written and verbal communication skills for both
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. Pay Range: 75,000-77,000K The Stanford Mineral-X (link is external) seeks a highly motivated and skilled postdoctoral scholar to join our research project on optimization of critical minerals
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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digestion), and should have documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with
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including the integration of large-scale human genome-wide association (GWAS) with bulk and single-cell (e.g. scRNA-seq and scATAC-seq) sequencing, optimization of in-vitro and in-vivo exposure protocols, and
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
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internal equity. Pay Range: $73,800 - $82,278 Open postdoctoral position through the Stanford Impact Labs Postdoctoral Fellowship Program (link is external) with the Fletcher Lab (link is external