Sort by
Refine Your Search
-
algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
-
algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
-
, quantum machine learning, quantum algorithms from well-established universities/institutes. The candidates must be highly motivated in multidisciplinary research. He/she must have proven experience in
-
Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
-
maintenance of both mammalian and microbial cells Devise micro-bioreactor for co-culture of mammalian and microbial cells Program control algorithm for optical sensors Design, fabricate, and optimize
-
application, developing groundbreaking algorithms and systems that mimic natural processes to elevate the capabilities of robotic systems. In this role, you will engage in transformative projects that utilize
-
algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
-
independent research projects, collaborate with other researchers, and leverage their expertise to develop innovative algorithms for data analysis. Additionally, they will be responsible for communicating
-
implement multimodal LLM architectures that integrate vision, language, and action for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided
-
authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and