Machine Learning Postdoctoral Researcher

5 days ago


Berkeley, California, United States Littleducklingindy Full time

The Computational Biosciences Group at Littleducklingindy is seeking a highly skilled Machine Learning Postdoctoral Scholar to join our team. This position will focus on developing and applying advanced methods to integrate Large Language Models (LLMs) and Graph Neural Networks (GNNs) at scale, combining sequence and structure modalities of proteins to enhance protein function.

Key Responsibilities:

  • Develop and apply novel methods to integrate LLMs and GNNs at scale.
  • Analyze AI model outputs and identify areas for improvement.
  • Design and implement high-quality code to support research objectives.
  • Prepare visualizations of data results to facilitate communication with colleagues and stakeholders.
  • Present research findings to internal and external audiences.
  • Collaborate with researchers to publish research papers and disseminate results.

Additional Responsibilities:

  • Assist in grant writing and proposal development.

Requirements:

  • PhD in Computer Science, Electrical Engineering, Physics, Data Science, or related fields.
  • Experience with LLMs and/or GNNs, with a strong background in machine learning and deep learning.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Proficiency in scientific programming languages, such as C/C++, Python, or R.

Notes:

  • This is a full-time, 2-year postdoctoral appointment with the possibility of renewal based on satisfactory job performance and ongoing operational needs.
  • The monthly salary range for this position is $6,431-$8,642, with a starting salary of $7,843 or above.
  • This position is eligible for a hybrid work schedule, with a combination of teleworking and on-site work at Littleducklingindy.


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