-
Position Summary: A one-year post-doc in Mathematics at Yeshiva College and Stern College for Women open to all areas, possibly renewable for a second year (the renewal is subject to budget approval
-
Details Posted: 03-Apr-24 Location: Irvine, California Type: Full-time Salary: Open Categories: Academic/Faculty Physical Sciences Internal Number: 5150741 University of California Irvine Associate Researcher -- Rignot Group The Rignot research group in the Department of Earth System Science,...
-
, Physics, Mathematics, or other related fields. Demonstrated ability to propose, initiate, and carry out ambitious data-intensive research projects. Self-motivated and works well both independently and as
-
mathematics, statistics, applied physics, etc. Candidates with a professional doctoral degree (MD, PharmD, DNP, DDS, DO, etc.) are also welcome to apply if they have a demonstrated track record in the relevant
-
(applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience. Proven
-
candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science, Bioengineering, Biophysics, Biostatistics, Mathematics, Statistics, Electrical Engineering
-
, work together, and measure success. Basic Qualifications: A BS or equivalent in computer science, mathematics, or a related field completed within the last 5 years Strong ML background and formal
-
. Developing software in Python and other modern programming languages Mathematical programming, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information
-
. Developing software in Python and other modern programming languages Mathematical programming, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information
-
. Developing software in Python and other modern programming languages Mathematical programming, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information