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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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daytime phone numbers All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or
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Requisition Id 16093 Overview: Oak Ridge National Lab is seeking a Postdoctoral Research Associate to advance quantitative, high‑throughput neutron imaging for next‑generation energy‑storage
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ordering supplies, excellent record-keeping, safety compliance including correct chemical maintenance and disposal practices, analysis and presentation of data, archiving data in forms useful to other
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Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Drug Free Workplace NLR is committed to maintaining a drug-free
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impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. * Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in in condensed matter physics, theoretical physics, quantum information, or a closely related
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closely with clinical, computational, and pharmacology specialists. This is 12‑month appointment with potential for renewal. Design & Execution of Experiments – Develop hypothesis‑driven protocols