Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
-
data sets, to program and simulate non-linear models, and to assist faculty members in all aspects of their research. This is a one-year term position with the possibility of renewal for a second year
-
: 277987661 Department Schl of Public & Int'l Affairs Category Information Technology Job Type Full-Time Overview The Violence and Inequality Project (VIP) is seeking a full-time Programmer/Data Scientist
-
models through rigorous testing and calibration against real-world data. Optimize model performance and scalability to handle large-scale simulations. • Assist in the interpretation and presentation
-
tracking detector designed to measure the trajectories of charged particles produced in high-energy collisions at the Large Hadron Collider facility at CERN. The upgraded detector will include more than
-
econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally intensive statistical analyses, summarizing
-
of such efforts. Responsibilities will include activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring
-
particles as part of the High-Luminosity Large Hadron Collider (HL-LHC) program. The tracker will comprise six barrel layers and ten endcap layers (5+5), with each layer containing modules made up of two
-
) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
-
for graduate school or work in a data science career. Work includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying