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Today’s IT leaders face competing mandates to do more (“make us an ‘AI-first’ enterprise—yesterday”) with less (“no new hires for at least the next six months”).

VMware has become a focal point of these dueling directives. It remains central to enterprise IT, with 80% of organizations using VMware infrastructure products. But shifting licensing models are prompting teams to reconsider how they manage and scale these workloads, often on tighter budgets.

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For many organizations, the path forward involves adopting a LessOps model, an operational strategy that makes hybrid environments manageable without increasing headcount. This operational philosophy minimizes human intervention through extensive automation and selfservice capabilities while maintaining governance and compliance.

In practice, VMware-to-cloud migrations create a “two birds, one stone” opportunity. They present a practical moment to codify the automation and governance practices LessOps depends on—laying the groundwork for

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Radiation worker exposure exceeding 10 times the annual limit

Print View Posted on: 27 November 2025

Event Date: 01 September 2025 Event Type: Irradiation/Accelerator Facility Event Location: Czech Republic, Roztoky u Prahy, museum INES Rating: 3 (Provisional)

The museum in Roztoky near Prague operates an irradiation chamber that is used to destroy insects in collection items with gamma radiation. For this purpose, a sealed radionuclide source of Co-60 with an actual activity of 127 TBq on the date of the event is used.

On 1. 9. 2025, a radiation worker was exposed to radiation by entering the irradiation chamber to bring another object into it for irradiation at a time when the emitter was extended in the working position and irradiation was taking place. The worker was moving in a field of ionizing radiation for about 1 to 2 minutes. The worker was equipped only with a personal film dosimeter, he left the operational dosimeter in the office. After closing the shielding door, he realized his mistake and reported the incident to his superior.
After evaluating the personal film dosimeter that the worker was wearing, an effective dose of 320 mSv was

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Junior/Assistant Specialist – Department of Nuclear Engineering

Position overview
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t24-b.pdf The current full-time base salary range for this position is $55,000 – $70,700. “Off-scale” salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

Percent time: 100%

Anticipated start: February/March 2026

Position duration: 1 year with possibility of renewal depending on availability of funding and satisfactory performance

Application Window
Open date: November 25, 2025

Next review date: Tuesday, Dec 9, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Friday, Dec 26, 2025 at 11:59pm (Pacific Time)
Applications will continue to

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UC Davis College of Engineering

Assistant Professor in Materials Science and Engineering

Salary range: “Off-scale salaries” and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. A reasonable estimated salary range for this position is $131,600-$147,900, inclusive of the salary scale and off-scale salary components.

 

Description

The Department of Materials Science and Engineering at UC Davis invites applications for a tenure-track Assistant Professor faculty position in the area of computational materials science with interests that may include, but are not limited to, quantum materials, multiscale modeling, and data-driven design of materials. Experience with the use of machine learning or artificial intelligence is desirable but not required. This search is part of UC Davis’ commitment to hiring leading research faculty with

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