Author: WeWorldMedia-admin

Lecturer of Computer Science (Non-Tenure Track)

Published: 15 April 2025
Categories: Eng Jobs Academic Keys

RSS Feed Source: Academic Keys

Job Title

Lecturer of Computer Science (Non-Tenure Track)

Department

COMPUTER SCIENCE

Position Number

F0645A, F1047A, F1040A

Job Description

The Department of Computer Science (CS) at Old Dominion University invites applicants for three annual 10-month Lecturer position, to begin July 25, 2025. The Lecturer will teach a broad range of undergraduate courses, from beginning programming courses in Java and Python to the advanced courses typical of a CS undergraduate program, and have a typical faculty service load.

Old Dominion University and the College of Sciences are committed to inclusive excellence, recognizing that diversityenhances and enriches our educational mission, employment experience, and community engagement. We seek candidateswhose teaching, and/or service experiences have prepared them to fulfill our commitment to inclusion.

Position Type

FullTime

Type of Recruitment

General Public

Minimum required education and/or special licenses, registrations, trainings, or certifications

Candidates must have an M.S. or the equivalent in Computer Science.

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Lead Project Scientist

Published: 15 April 2025
Categories: Eng Jobs Academic Keys

RSS Feed Source: Academic Keys

Job ID: 255882

Lead Project Scientist
Old Dominion University

Job Title

Lead Project Scientist

Department

VA INSTITUTE SPACEFLIGHT AUTONOMY

Position Number

GP265A

Location

Suffolk, VA

Job Summary

The Lead Project Scientist conducts and supervises basic and applied research in the areas of modeling, simulation and visualization. The incumbent shall serve as principal investigator or co-principal investigator for sponsored research projects and is responsible for the proper completion of statements of work under delivery orders or contracts. The Lead Project Scientist must have demonstrated knowledge, skills and abilities to plan, organize, execute, monitor and lead successful research teams, which may include Post Docs and Graduate Research Assistants.

Position TypeFullTimeType of RecruitmentInternal RecruitmentMinimum Qualifications

Ph.D. in computer science, computational simulation, computational social sciences, art, data science or related technical field, or a Masters

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U.S. energy consumption growth decreases in the near term in the latest AEO

Published: 15 April 2025
Categories: US Energy Information Administration

RSS Feed Source: Academic Keys

In-brief analysis

April 15, 2025

U.S. energy consumption decreases in the next several years before increasing again in the early 2040s through 2050, according to our recently published Annual Energy Outlook 2025 (AEO2025). U.S. energy consumption in 2050 is lower than in 2024 in most of the scenarios we explore in AEO2025, but the range of outcomes varies significantly based on the underlying assumptions.

For AEO2025, we made significant updates to the model that underpins the results, adding a hydrogen market module; a carbon capture, allocation, transportation, and sequestration module; and an enhanced upstream oil and natural gas resources module. We also enhanced many existing modules to better reflect market dynamics and emerging technologies.

Our policy assumptions are central to understanding our AEO2025 projections. In most of the cases we modeled, we only considered laws and

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Materials Innovation Platforms (MIP)

Published: 14 April 2025
Categories: NSF Due Dates

RSS Feed Source: Academic Keys

Synopsis

Materials Innovation Platforms (MIP) is a mid-scale infrastructure program in the Division of Materials Research (DMR) designed to accelerate advances in materials research. MIPs respond to the increasing complexity of materials research that requires close collaboration of interdisciplinary and transdisciplinary teams and access to cutting edge tools. These tools in a user facility benefit both a user program and in-house research, which focus on addressing grand challenges of fundamental science and meet national needs. MIPs embrace the paradigm set forth by the Materials Genome Initiative (MGI), which strives to “discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost,” and conduct research through iterative “closed-loop” efforts among the areas of materials synthesis/processing, materials characterization, and theory/modeling/simulation. In addition, they are expected to engage the emerging field of data science in materials research. Each MIP is a scientific ecosystem,

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