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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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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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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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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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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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to conduct laboratory experiments with minimal supervision with the utmost regard to safety is required, as well as the ability to learn new techniques and protocols. The successful candidate will be able
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Posting Title Postdoctoral Researcher - Model Engineering . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills
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of multi-omic data Programming Proficiency: Strong knowledge of Python, C/C++, Julia, and other relevant programming languages Ability to model Argonne's core values of impact, safety, respect, integrity
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information Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork Desired skills, knowledge and abilities: Experience with large-scale molecular dynamics (MD) simulations