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Top Talent Project (Paid): Build a Product
- The Statement
- Requirements
- Apply
Predicting Antibody Structure Using Deep Learning
Project Started!
This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.
You can find our upcoming AI Innovation Challenges at https://omdena.com/projects.
The problem
This EVQLV-Omdena project aims to build a deep learning model that takes as input the protein sequence of an antibody and predicts the distance and angle matrices of the antibody structure.
The project goals
- The model should be built using Tensorflow or Keras.
- Using open-source data (tabular, structural data)
- The team will be following an existing implementation (paper).
**More details will be shared once the project is joined.
Why join? The uniqueness of Omdena Top Talent Projects
Top Talent opportunities come as a natural next step after participating in Omdena’s AI Innovation Challenges.
Everyone in the community is eligible to participate once they have shown the relevant skills based on the merit of involvement in past Omdena challenges and the community.
If you are looking for the next challenge after participating in one or more Omdena AI Innovation Challenges, then we believe you have made the right choice! With a healthy, pressured environment, you will be pushed to contribute, learn and grow even more.
Find more information on how an Omdena Top Talent Program works
This project is hosted with our friends at
Taiwo O. Adetiloye Ph.D.
Mohit Sharma, India
I feel Omdena is the stepping stone to discover the true potential of AI.
Rosana de Oliveira Gomes, Brazil
After all this mind-blowing experience, I feel much closer to the person I wanted to be for a very long time: a technology change maker.
Colton Magnant, UK
I have learned so much in several domains including data mining, AI, ML, transfer learning, NLP.
Anita Okoh, Germany
Working in a collaborative project helped greatly in boosting my data science confidence.
Xavier Torres Fatsini, Spain
After the Omdena project, I see that career adaptation was a necessary thing in today’s trends.
Marek Cichy, Poland
Collaboration across continents, time zones, and perspectives, especially on a social science-linked challenge was mind-opening.
Phenyo Phemelo Moletsane, South Africa
Joining Omdena was an important career milestone. A unique way of learning and contributing to social good.
Neil Sahota, USA
Collaborative AI enables robust AI solutions through sharing knowledge, perspectives, and promoting diversity and inclusion.
Sakthisree Venkatesan, India
The community made me feel a sense of freedom and provided a non-judgmental environment where I was enabled to help others.
Skill requirements
- Good English
- Machine Learning Engineer
- Experience working with Smartphone Sensor Data is a plus.
Eligibility to join an Omdena Top Talent project
- Finished at least one AI Innovation Challenge
- Received a recommendation from the Omdena Core Team Member/ Project Owner (PO) is a plus
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