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Assistant Professors in Computer Science @ Fynd

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 Assistant Professors in Computer Science

Job Description

    As an Assistant Professor in Computer Science and Engineering (CSE) at Aditya University, your role will involve curriculum development, data science, cybersecurity, programming, and various tasks related to teaching and research in the CSE field. Key Responsibilities: - Develop curriculum for Computer Science and Engineering programs - Utilize data science techniques in research and teaching - Implement cybersecurity measures in educational activities - Teach programming languages and concepts effectively Qualifications Required: - Proficiency in Computer Science, Data Science, and Programming - Experience in curriculum development and cybersecurity practices - Solid understanding of Computer Science and Engineering principles - Ability to engage students and promote critical thinking - Ph.D. in Computer Science or a related field - Previous teaching experience at the university level - Industry certifications in relevant technologies would be beneficial Aditya University is a State Private University in Andhra Pradesh, dedicated to offering quality higher education with global standards. The programs at Aditya University combine academic rigor with practical relevance, fostering intellectual curiosity, critical thinking, and collaboration among students. The university also provides industry collaborations for internship opportunities and innovative research.,

Employement Category:

Employement Type: Full time
Industry: Education / Training
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Assistant Professors in Computer Science and

Contact Details:

Company: Aditya University
Location(s): All India

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Keyskills:   Computer Science Data Science Programming Curriculum Development Teaching Research Cybersecurity

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Fynd

We have modernized retail strategies for more than 1000 brands created a rich suite of tech products. Rooted in technology innovation, we have products in applied machine learning, big data, gaming+crypto, image editing, and learning space.