27 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of California Berkeley
Sort by
Refine Your Search
-
salary scales set the minimum and maximum pay determined by rank and salary point at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic
-
pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented
-
and testing algorithms Experience with PyTorch, JAX, NumPy, SciPy, and other machine learning libraries Experience developing open-source research software or AI benchmarks Application Requirements
-
experience and a background in quantitative finance, statistics, data science, machine learning, or artificial intelligence. This is a Haas-funded position. Key Academic Responsibilities: Advising: Serve as a
-
determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025
-
the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf . The current base salary
-
papers. Lab: https://lammellab.org/ Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) Additional qualifications (required at time of start) At
-
this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t1.pdf . The current full-time base salary range for this position is $80,800-$212,000 (9-month
-
the minimum pay at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales
-
Introduction to Big Data Introduction to Data Science Introduction to Machine Learning Machine Learning and Deep Learning Entrepreneurship and Innovation Management Building a Business Plan Business Negotiating