RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).

In-brief analysis

December 19, 2025

Data source: U.S. Energy Information Administration, Short-Term Energy Outlook
Data values: Total Crude Oil Production
Note: While EIA does not forecast unplanned production outages, they are assumed to remain at the most recent historical month’s level throughout the forecast period.

Each month we publish estimates of key global oil market indicators that affect crude oil prices and movements in our Short-Term Energy Outlook (STEO). Among the most important indicators for global crude oil markets are estimates of OPEC’s effective crude oil production capacity and surplus production capacity, as well as any disruptions to liquid fuels production. Low surplus production capacity among OPEC countries can put upward pressure on crude oil prices in the event of unplanned supply disruptions or strong growth in global oil demand.

In our December STEO, we updated our

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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).

The Technical University of Munich (TUM) invites applications for the position of

Tenure Track Assistant Professor

in » Data and Cloud Systems «

to begin as soon as possible. The position is a W2 fixed-term (6 year) tenure-track professorship with the possibility for promotion to a tenured W3.

Scientific Environment

The professorship will be assigned to the TUM School of Computation, Information and Technology, Department of Computer Science.

Responsibilities

The responsibilities include research and teaching as well as the promotion of early-career scientists. We seek to appoint an expert in the following research areas:

high-performance data processing on modern hardware scalable cloud systems distributed data and storage systems query optimization and compilation

Teaching responsibilities include courses in the university’s bachelor’s and master’s programs, especially courses in the Professional Profile “Informatics”.

Qualifications

We are looking for candidates who have demonstrated initial scientific achievements

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