techniques. The role involves analyzing complex datasets, developing intelligent models, and exploring simulation tools for research-based problem-solving.
Key Responsibilities:
Collect, clean, and analyze research data from various sources.
Develop and train
machine learning and deep learning models
for different research domains.
Apply
NLP techniques
for data interpretation, text mining, and research automation.
Work with simulation tools like
ANSYS, COMSOL, HFSS
, and other research-based software for modeling and validation.
Visualize and present data insights clearly for research documentation and publications.
Collaborate with researchers, programmers, and domain experts to improve project outcomes.
Continuously learn and explore new AI and simulation tools to enhance research performance.
Skills Required:
Strong knowledge of
Python, MATLAB, R, or related tools
.
Hands-on experience in
machine learning, deep learning, and NLP frameworks
Familiarity with
simulation and modeling tools
(ANSYS, COMSOL, HFSS, etc.).
Good understanding of data visualization and statistical analysis.
Problem-solving mindset and eagerness to explore new technologies.
Qualification:
Bachelor's or Master's degree in
Computer Science, Data Science, Artificial Intelligence, or related fields
.
Research or project experience in AI, ML, or simulation preferred.
Experience:
Freshers and Experienced research professionals eager to explore emerging tools are welcome to apply.
Job Types: Full-time, Permanent
Pay: ?15,000.00 - ?25,000.00 per month
Work Location: In person
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