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Field
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knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical thinking, resource management, and writing skills Skills and
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We are seeking a Postdoctoral Appointee to work in the Mathematics and Computer Science (MCS) Division of the Computing, Environment, and Life Sciences directorate (CELS) of Argonne National
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(s). Collaborate with other staff scientists and postdocs in the group. Position Requirements Ph.D. in mechanical/aerospace/energy engineering, applied mathematics, chemical engineering, or a related
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Leadership Computing Facility (ALCF), the Mathematics and Computer Science Division (MCS), the Computational Science Division (CPS), and the Data Science and Learning Division (DSL). The postdoctoral
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The Physics Division at Argonne National Laboratory invites you to apply for a postdoctoral position beginning fall 2024 at Argonne’s Trace Radioisotope Analysis Center (TRACER). TRACER specializes in detection and analysis of rare noble gas isotopes through Atom Trap Trace Analysis (ATTA), an...
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, Applied Mathematics, Statistics or related computational field. Superb quantitative background, strong coding skills (e.g., Python, R). Expertise in infectious disease modeling. Strong record of peer
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Horticultural Sciences Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description This position requires expertise in laboratory research, bioactive compound...
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science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is committed to providing excellence in research, education, and
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. Proficiency in frameworks like Pyomo and/or TensorFlow/Pytorch/Keras Solid foundation in mathematics/statistics, with experience in cyber-physical systems modeling. Ability to work both independently and
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large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation