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AI R&D Research Intern/Fresher (Hybrid/Part-Time/Online)
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sy6k4d
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We are looking for motivated candidates or students who will support us in building world-class Engineering and Business based on investigating Digital Transformation, Human-oriented Center, AI, Big Data, and High-Performance Computing, Data Center, etc.

2. Positions:

Candidates should have strong backgrounds in any programs: computer science, electrical engineering, general engineering, mechatronics, business and social, etc. You have from first-year students to final year, including internship projects, and thesis positions. You will have a chance to work and collaborate with talented and Excellent people in our companies. There also advanced to join our Machine Learning supervised and travel abroad for conferences. AI currently tricky tasks but also make you more opportunities.

3. Number of Candidates:

Not limited to the numbers

4. Requirements

Fundamentals of programming, critical thinking, and mathematics

Motivations are most important, you will meet the real challenges in many complex tasks and motivate yourself expected to run long-time for challenging projects you will need to keep running for a long time for the project at least 6 months, we are also expected you to keep in touch with a long time working more than one years for tracking research projects and development products.

Priority to the Olympics and any awards from international or national competitions.

More strongly refer to excellence from High School or first year at university to running long-term programs based on paralleling with training at university or institute. We are currently linked strongly in Industrial Projects based on our application

+ R&D Research in Natural Language Processing

+ R&D Research in Machine Learning

+ R&D Research in Reinforcement Learning

+ R&D Research in Speech and Language Processing

+ R&D Research in Signal Processing and Machine Learning

+ R&D Research in Computer Vision and Machine Learning

+ R&D Research in Data Mining and Machine Learning

+ R&D Research in Recommendation Systems and Data Mining

+ R&D in High-Performance Computing

+ R&D in FPGA and Deep Learning

+ R&D in Robotics

+ R&D in Big Data

+ R&D in Bioinformatics

+ R&D in Data Engineering

+ R&D in Cloud Computing

+ R&D in Human-Computer Interaction

+ R&D in Embedded System

5. Time

There is no limited time during progress.

How to Apply?

Please send your CV directly to email:

+ International and National Olympic Awards or Any National Challenge are strong pluses and welcome to apply

Note: We are also referring to work with long-term thesis research situations of any students from any. Contact us by email if you need more information.

[#HCM] [#Hanoi] [#Cantho] [#KhanhHoa] [#DongNai] [#QuyNhon] [#WorkFromHome] [#Danang] [#Daklak] [#BinhDuong] [#Remote] [#Hybrid]

[#Cuda] [#Robotics] [#MachineLearning] [#NLP] [#SignalProcessing] [#Chatbot] [#ComputerVision] [#HCI] [#DeepLearning] [#AI] [#DataEngineering] [#Cloud] [#Microservices] [#Service] [#DataWarehouse]

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