380 security-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" Postdoctoral positions in United States
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may be required. Appropriate safety training will be provided. Minimum Qualifications (or equivalent combination of education and experience) • Ph.D. or equivalent terminal degree in a relevant
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may be required. Appropriate safety training will be provided. With your application, please provide: Cover letter Prior Work/Research Summary Contact information for 3 references Minimum Qualifications
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, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income
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-oriented mindset. Ability to model Argonne's core values of impact, safety, research, integrity and teamwork. Preferred Skills and Qualifications: AI/ML Development: Experience with modern AI frameworks (e.g
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submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application. All positions are security-sensitive. Applicants
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essential Effective written and oral communications skills Ability to model Argonne’s core values of impact, safety, respect, integrity and teamwork Preferred skills and qualifications: Experience with
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The Nuclear Technologies and National Security (NTNS) Directorate is seeking a highly qualified and motivated Postdoctoral Researcher specializing in energy economics and supply chain analysis, with
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred skills, knowledge and experience: Previous postdoctoral experience and demonstrated ability to work as an independent
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for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related
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, safety, respect, integrity, and teamwork Preferred Skills Hands-on experience with GEANT4-based simulations Experience with detector characterization and validation Familiarity with HEP/NP data processing