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Required Qualifications: Ph.D. degree in engineering, mathematics, physics, or computer science. Successful publication records in thermos-fluids area. Expertise in model development using lattice Boltzmann
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Affirmative Action Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities. Location Omaha, NE Requisition Number: 2024 -...
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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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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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, or related fields. Sound publication record in high-impact conferences/journals. Experience in working as a member of a team in a collaborative environment. Strong mathematical and analytical skills
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on the investigation of the mathematical foundations and regularities of many-body quantum systems. In alignment with our commitment to promoting gender equity in research, we are pleased to announce a distinguished
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ICFO is offering a postdoctoral position to outstanding, highly motivated scientists, who wishes to contribute advance technologies that drive the clean energy transition. In particular, we seek to develop novel strategies that contribute overcoming critical resource bottlenecks in energy...
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opportunity promises deep academic inquiry, industry collaborations, and the chance to influence future practices and research directions in these fields. Key Responsibilities: Develop robust mathematical and
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of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and sustainable infrastructure and environment systems