The phrase "background in physics" is correct and usable in written English.
You can use it when talking about someone's education, qualifications, or experience. For example, "My friend has a background in physics, so she is often able to provide me with useful explanations of scientific concepts."
It seems necessary to emphasize here that the "replication first" models, such as the RNA world, leave biologists happy but cannot completely satisfy those with a background in physics or physical chemistry who realize that RNA life would be thermodynamically implausible unless coupled to some utilizable energy source.
Most readers without a serious background in physics found it tough going indeed.
How important was your own background in physics in making the film?
Henry, who had a background in physics, was a former director of the US government's Voice of America.
Mr. Grossman, who has a background in physics, admits that neither he nor his partner is a weather expert.
I have a strong academic background in physics and mathematics: I possess a MSc degree from the University of Sofia, Bulgaria, as well as a recent PhD in Meteorology from a French university.
Ms. Huff, who calls herself an "idea girl," is something of an anomaly in the world of information defense, which is dominated by men with backgrounds in physics or mathematics.
"About 30 new graduate students arrive each year, many of whom join us with backgrounds in physics, chemistry, or engineering," says the department.
For these positions CERN typically seeks individuals with backgrounds in physics, computer science, electronics, mechanics, cryogenics, ultrahigh vacuum, materials science, radiation protection, cooling and ventilation, civil engineering, operation of accelerators and associated equipment, and conventional and superconducting magnets.
In addition to bringing new researchers into the field with backgrounds in physics, mathematics, computer science, and engineering, theoretical approaches have helped to introduce new ideas and shape directions of neuroscience research.
ZestFinance's team of predictive modelers, who all have backgrounds in physics, computer science and mathematics, analyzes thousands of variables created by machine learning algorithms, modifies them based on patterns, trends, and unique insights, and feeds these variables into multiple big data models.
