-
diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging, and RF signal synthesis. Study new reinforcement learning and DQN designs for beam tracking and management in
-
at the level of the entire cohort, and visualization of individual patient profiles. Most will projects involve computational and statistical expertise (coding, data manipulation and visualization, machine
-
using phoebus or related software instruments. Candidates with experience in code development, implementation, and leading scientific research using large-scale multi-physics software frameworks such as
-
analyze imaging data. Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the development and distribution of Siemens Work-In-Progress (WIP
-
analyze imaging data. Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the development and distribution of Siemens Work-In-Progress (WIP
-
skills, including C++, Python, C#; ROS/ROS 2; Git; Linux; build systems (CMake); real-time/latency-aware coding; simulation (Gazebo/Isaac/Unity/Unreal as applicable). Knowledge of experimental design