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Are you someone who loves to lead and create new things?
We're searching for a Generative AI Group Leader to join us.
If you're great at both leading a team and doing technical research and problem solving, this is the perfect role for you.
You'll be at the forefront of our data science team, helping us develop cool new generative AI algorithms. Plus, you'll be leading the way in building a collaborative team culture to reach new innovative goals.
Key Responsibilities:
* Set a vision for generative AI research and development that aligns with company objectives
* Lead cutting-edge generative AI research initiatives
* Grow, mentor and inspire the data science team, while attracting and nurturing talents
* Manage and collaborate on AI projects from conception to deployment, emphasizing teamwork in research and development
* Oversee the research aspects of deep learning generative AI model development, ensuring excellence in algorithmic problem solving

We are seeking a highly motivated Postdoctoral Researcher to join our team. The selected candidate will engage in pioneering research to develop the mathematical statistics theory that underpins physics-informed Machine Learning algorithms.
This role presents an opportunity to tackle complex problems at the nexus of deep learning, ordinary and partial differential equations, and mathematical statistics.
The theoretical research is motivated by real data coming from diverse domains such as agriculture, psychotherapy, infectious diseases, medicine, and more.
Key Responsibilities:
* Develop and analyze the theoretical foundations of physics-informed Machine Learning algorithms.
* Collaborate with interdisciplinary teams to apply developed theories and models to real-world scientific and engineering problems.
* Publish research findings in high-impact journals and present work at international conferences.
* Contribute to the development of proposals for research funding.
Benefits:
* Access to cutting-edge research facilities and computational resources.
* The chance to work in a dynamic, interdisciplinary research environment.
* Professional development opportunities, including participation in workshops, seminars, and conferences.