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I applied via Referral and was interviewed before Jan 2021. There were 5 interview rounds.
Glass is a solid, transparent material made by heating a mixture of silica and other materials.
Glass is a non-crystalline, amorphous solid
It is made by heating a mixture of silica, soda ash, and lime
It can be molded into various shapes and sizes
It is used in windows, mirrors, lenses, and containers
Different types of glass include tempered, laminated, and stained glass
Graphene is a thin layer of pure carbon arranged in a hexagonal lattice.
It is the thinnest material known to man
It is a good conductor of electricity and heat
It is incredibly strong and flexible
It has potential applications in electronics, energy, and medicine
Glass is a solid, transparent material made by heating a mixture of silica and other materials.
Glass is an amorphous solid, meaning it has no long-range order in its atomic structure.
It is commonly used in windows, mirrors, lenses, and containers.
Glass can be colored or made into different shapes by adding various chemicals or using different manufacturing techniques.
It can also be tempered or laminated for increased s...
Glass is a solid, transparent material made by heating a mixture of silica and other materials.
Glass is a non-crystalline, amorphous solid
It is made by heating a mixture of silica, soda ash, and lime
It can be molded into various shapes and sizes
It is used in windows, mirrors, lenses, and containers
Different types of glass include tempered, laminated, and stained glass
posted on 22 Feb 2022
I appeared for an interview before Mar 2024.
I applied via Walk-in and was interviewed in May 2022. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in Dec 2022. There were 3 interview rounds.
I applied via Approached by Company and was interviewed in Feb 2023. There were 3 interview rounds.
posted on 23 Aug 2023
Response Surface Methodology (RSM) is a statistical technique used to model and analyze the relationship between a response variable and multiple input variables.
Design a set of experiments based on a factorial design
Collect data from the experiments
Fit a regression model to the data
Analyze the model to determine optimal input settings for the response variable
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