Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Projection Chambers used in the Deep Underground Neutrino Experiment. This work involves parsing the simulated data to extract and analyze the information necessary to develop an algorithm to determine the
-
to work collaboratively across interdisciplinary teams Enthusiasm for learning new computing platforms, tools, and technologies About the Department School of Physics and Astronomy: https://cse.umn.edu
-
academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
-
complex, high dimensional and high-volume datasets. Uses data preparation, modeling and predictive modeling, analysis, processing, algorithms, and systems. Applies knowledge of statistics, machine learning
-
of computer algorithms/code related to simulations, data analysis, visualization and dissemination in support of space physics research. Job Duties 65% Implementing, testing, editing and running simulation
-
and verification, domain-specific computing, heterogeneous architectures, hardware-algorithm co-design, quantum, and physics-inspired computing. AI: Expertise in algorithms, theory, and applications
-
the REVEAL project, in which vagus nerve implant patients will be stimulated with various settings, and corresponding responses will be collected across body systems. Multiple types of computational and
-
-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
-
Localization and Mapping) algorithms, integrating data from sources like GPS, IMU, and LiDAR to achieve robust vehicle localization. Implement, test, and tune navigation controllers (primarily the visual
-
of Minnesota, working with Professor Russell Funk. This position focuses on using computational methods to understand how knowledge is produced, shared, and applied across complex systems. About the Project