Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing
-
specialization in Education and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
-
algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH
-
interplanetary travel. Autonomous Systems: Develop AI algorithms, robotics, and autonomous software to enhance spacecraft operations and exploration. Implement machine learning techniques for improved autonomy and
-
exploration. Data Science and Analysis: Develop algorithms and tools for data processing, modeling, simulations, and analytics to support scientific research and mission planning. Spacecraft Operations: Oversee
-
for aircraft and spacecraft. Develop and enhance avionics components and systems, including integrating avionics with guidance, navigation, and control (GN&C) algorithms. Focus on advancing autonomous flight
-
component. The battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC
-
, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in all areas of Computer Systems. A
-
of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
-
interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical